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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.0.0-beta.2 for Hugo"><meta name=author content="DFKI-NLP"><meta name=description content="In order to optimally prepare industry, science and the society in Germany and Europe for the global Big Data trend, highly coordinated activities in research, teaching, and technology transfer regarding the integration of data analysis methods and scalable data processing are required. To achieve this, the Berlin Big Data Center is pursuing the following seven objectives: 1) Pooling expertise in scalable data management, data analytics, and big data application 2) Conducting fundamental research to develop novel and automatically scalable technologies capable of performing 'Deep Analysis' of 'Big Data'. 3) Developing an integrated, declarative, highly scalable open-source system that enables the specification, automatic optimization, parallelization and hardware adaptation, and fault-tolerant, efficient execution of advanced data analysis problems, using varying methods (e.g., drawn from machine learning, linear algebra, statistics and probability theory, computational linguistics, or signal processing), leveraging our work on Apache Flink 4) Transfering technology and know-how to support innovation in companies and startups. 5) Educating data scientists with respect to the five big data dimensions (i.e., applications, economic, legal, social, and technological) via leading educational programs. 6) Empowering people to leverage 'Smart Data', i.e., to discover newfound information based on their massive data sets. 7)Enabling the general public to conduct sound data-driven decision-making."><link rel=alternate hreflang=en-us href=https://dfki-nlp.github.io/project/bbdc2/><link rel=preconnect href=https://fonts.gstatic.com crossorigin><meta name=theme-color content="#3f51b5"><script src=../../js/mathjax-config.js></script><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/academicons/1.9.0/css/academicons.min.css integrity="sha512-W4yqoT1+8NLkinBLBZko+dFB2ZbHsYLDdr50VElllRcNt2Q4/GSs6u71UHKxB7S6JEMCp5Ve4xjh3eGQl/HRvg==" crossorigin=anonymous><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.14.0/css/all.min.css integrity="sha256-FMvZuGapsJLjouA6k7Eo2lusoAX9i0ShlWFG6qt7SLc=" crossorigin=anonymous><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.5.7/jquery.fancybox.min.css integrity="sha256-Vzbj7sDDS/woiFS3uNKo8eIuni59rjyNGtXfstRzStA=" crossorigin=anonymous media=print onload="this.media='all'"><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/styles/github.min.css crossorigin=anonymous title=hl-light media=print onload="this.media='all'"><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/styles/dracula.min.css crossorigin=anonymous title=hl-dark media=print onload="this.media='all'" disabled><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.7.1/leaflet.min.css integrity="sha512-1xoFisiGdy9nvho8EgXuXvnpR5GAMSjFwp40gSRE3NwdUdIMIKuPa7bqoUhLD0O/5tPNhteAsE5XyyMi5reQVA==" crossorigin=anonymous media=print onload="this.media='all'"><script src=https://cdnjs.cloudflare.com/ajax/libs/lazysizes/5.2.2/lazysizes.min.js integrity="sha512-TmDwFLhg3UA4ZG0Eb4MIyT1O1Mb+Oww5kFG0uHqXsdbyZz9DcvYQhKpGgNkamAI6h2lGGZq2X8ftOJvF/XjTUg==" crossorigin=anonymous async></script><script src=https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-chtml.js integrity crossorigin=anonymous async></script><link rel=preload as=style href="https://fonts.googleapis.com/css2?family=Montserrat:wght@400;700&family=Roboto+Mono&family=Roboto:wght@400;700&display=swap"><link rel=stylesheet href="https://fonts.googleapis.com/css2?family=Montserrat:wght@400;700&family=Roboto+Mono&family=Roboto:wght@400;700&display=swap" media=print onload="this.media='all'"><link rel=stylesheet href=../../css/wowchemy.0abaadd3907f09eb28431199a31e5765.css><link rel=manifest href=../../index.webmanifest><link rel=icon type=image/png href=../../images/icon_hu15d4cd24fad375030c8e4d8f45deb950_164099_32x32_fill_lanczos_center_2.png><link rel=apple-touch-icon type=image/png href=../../images/icon_hu15d4cd24fad375030c8e4d8f45deb950_164099_180x180_fill_lanczos_center_2.png><link rel=canonical href=https://dfki-nlp.github.io/project/bbdc2/><meta property="twitter:card" content="summary_large_image"><meta property="og:site_name" content="DFKI-NLP"><meta property="og:url" content="https://dfki-nlp.github.io/project/bbdc2/"><meta property="og:title" content="BBDC2 | DFKI-NLP"><meta property="og:description" content="In order to optimally prepare industry, science and the society in Germany and Europe for the global Big Data trend, highly coordinated activities in research, teaching, and technology transfer regarding the integration of data analysis methods and scalable data processing are required. To achieve this, the Berlin Big Data Center is pursuing the following seven objectives: 1) Pooling expertise in scalable data management, data analytics, and big data application 2) Conducting fundamental research to develop novel and automatically scalable technologies capable of performing 'Deep Analysis' of 'Big Data'. 3) Developing an integrated, declarative, highly scalable open-source system that enables the specification, automatic optimization, parallelization and hardware adaptation, and fault-tolerant, efficient execution of advanced data analysis problems, using varying methods (e.g., drawn from machine learning, linear algebra, statistics and probability theory, computational linguistics, or signal processing), leveraging our work on Apache Flink 4) Transfering technology and know-how to support innovation in companies and startups. 5) Educating data scientists with respect to the five big data dimensions (i.e., applications, economic, legal, social, and technological) via leading educational programs. 6) Empowering people to leverage 'Smart Data', i.e., to discover newfound information based on their massive data sets. 7)Enabling the general public to conduct sound data-driven decision-making."><meta property="og:image" content="https://dfki-nlp.github.io/project/bbdc2/featured.png"><meta property="twitter:image" content="https://dfki-nlp.github.io/project/bbdc2/featured.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2021-02-23T11:16:31+01:00"><meta property="article:modified_time" content="2021-02-23T11:16:31+01:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://dfki-nlp.github.io/project/bbdc2/"},"headline":"BBDC2","image":["https://dfki-nlp.github.io/project/bbdc2/featured.png"],"datePublished":"2021-02-23T11:16:31+01:00","dateModified":"2021-02-23T11:16:31+01:00","author":{"@type":"Person","name":"Leonhard Hennig"},"publisher":{"@type":"Organization","name":"DFKI-NLP","logo":{"@type":"ImageObject","url":"https://dfki-nlp.github.io/images/icon_hu15d4cd24fad375030c8e4d8f45deb950_164099_192x192_fill_lanczos_center_2.png"}},"description":"In order to optimally prepare industry, science and the society in Germany and Europe for the global Big Data trend, highly coordinated activities in research, teaching, and technology transfer regarding the integration of data analysis methods and scalable data processing are required. 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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=../../>DFKI-NLP</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=../../#about><span>Home</span></a></li><li class=nav-item><a class=nav-link href=../../#news><span>News</span></a></li><li class=nav-item><a class=nav-link href=../../#people><span>People</span></a></li><li class=nav-item><a class=nav-link href=../../#publications><span>Publications</span></a></li><li class=nav-item><a class=nav-link href=../../#projects><span>Projects</span></a></li><li class=nav-item><a class=nav-link href=../../#datasets><span>Datasets</span></a></li><li class=nav-item><a class=nav-link href=../../#contact><span>Contact</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li><li class="nav-item dropdown theme-dropdown"><a href=# class=nav-link data-toggle=dropdown aria-haspopup=true aria-label="Display preferences"><i class="fas fa-moon" aria-hidden=true></i></a><div class=dropdown-menu><a href=# class="dropdown-item js-set-theme-light"><span>Light</span></a>
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-<a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></div><div class=page-body><article class="article article-project"><div class="article-container pt-3"><h1>BBDC2</h1><div class=article-metadata><div><span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span></div><span class=article-date>Feb 23, 2021</span></div><div class="btn-links mb-3"><a class="btn btn-outline-primary my-1" href=https://www.dfki.de/en/web/research/projects-and-publications/projects-overview/project/bbdcii target=_blank rel=noopener>Go to Project Site</a></div></div><div class="article-header article-container featured-image-wrapper mt-4 mb-4" style=max-width:207px;max-height:79px><div style=position:relative><img src=../../project/bbdc2/featured.png alt class=featured-image></div></div><div class=article-container><div class=article-style></div><div class=article-tags><a class="badge badge-light" href=../../tag/information-extraction/>Information Extraction</a></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/text2tech/>Text2Tech</a></li><li><a href=../../project/bifold/>BIFOLD</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/sim3s/>SIM3S</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/acl-srw2020-harbecke-considering/>Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling</a></div><a href=../../publication/acl-srw2020-harbecke-considering/ class=summary-link><div class=article-style>Recently, state-of-the-art NLP models gained an increasing syntactic and semantic understanding of language, and explanation methods …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/david-harbecke/>David Harbecke</a></span>, <span><a href=../../authors/christoph-alt/>Christoph Alt</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.aclweb.org/anthology/2020.acl-srw.16.pdf target=_blank rel=noopener>PDF</a>
+<a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></div><div class=page-body><article class="article article-project"><div class="article-container pt-3"><h1>BBDC2</h1><div class=article-metadata><div><span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span></div><span class=article-date>Feb 23, 2021</span></div><div class="btn-links mb-3"><a class="btn btn-outline-primary my-1" href=https://www.dfki.de/en/web/research/projects-and-publications/projects-overview/project/bbdcii target=_blank rel=noopener>Go to Project Site</a></div></div><div class="article-header article-container featured-image-wrapper mt-4 mb-4" style=max-width:207px;max-height:79px><div style=position:relative><img src=../../project/bbdc2/featured.png alt class=featured-image></div></div><div class=article-container><div class=article-style></div><div class=article-tags><a class="badge badge-light" href=../../tag/information-extraction/>Information Extraction</a></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/text2tech/>Text2Tech</a></li><li><a href=../../project/bifold/>BIFOLD</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/plass/>PLASS</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/acl-srw2020-harbecke-considering/>Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling</a></div><a href=../../publication/acl-srw2020-harbecke-considering/ class=summary-link><div class=article-style>Recently, state-of-the-art NLP models gained an increasing syntactic and semantic understanding of language, and explanation methods …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/david-harbecke/>David Harbecke</a></span>, <span><a href=../../authors/christoph-alt/>Christoph Alt</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.aclweb.org/anthology/2020.acl-srw.16.pdf target=_blank rel=noopener>PDF</a>
 <a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/acl-srw2020-harbecke-considering/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=../../project/bbdc2/>Project</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://doi.org/10.18653/v1/2020.acl-srw.16 target=_blank rel=noopener>DOI</a></div></div><div class=ml-3></div></div><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/acl2020-alt-probing/>Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction</a></div><a href=../../publication/acl2020-alt-probing/ class=summary-link><div class=article-style>Despite the recent progress, little is known about the features captured by state-of-the-art neural relation extraction (RE) models. …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/christoph-alt/>Christoph Alt</a></span>, <span><a href=../../authors/aleksandra-gabryszak/>Aleksandra Gabryszak</a></span>, <span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.aclweb.org/anthology/2020.acl-main.140.pdf target=_blank rel=noopener>PDF</a>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.0.0-beta.2 for Hugo"><meta name=author content="DFKI-NLP"><meta name=description content="BIFOLD conducts foundational research in big data management and machine learning, as well as its intersection, to educate future talent, and create high-impact knowledge exchange. The Berlin Institute for the Foundations of Learning and Data (BIFOLD), has evolved in 2019 from the merger of two national Artificial Intelligence Competence Centers: the Berlin Big Data Center (BBDC) and the Berlin Center for Machine Learning (BZML). Embedded in the vibrant Berlin metropolitan area, BIFOLD provides an outstanding scientific environment and numerous collaboration opportunities for national and international researchers. BIFOLD offers a broad range of research topics as well as a platform for interdisciplinary research and knowledge exchange with the sciences and humanities, industry, startups and society. Within BIFOLD, DFKI SLT conducts research in Clinical AI, specifically addressing the task of Pharmacovigilance. Pharmacovigilance is concerned with the assessment and prevention of adverse drug reactions (ADR) in pharmaceutical products. As the level of medication is generally raising all over the world, the potential risk of unwanted side effects, such as ADRs, is constantly increasing. Patients exchange views in their own language as 'experts in their own right,' in social media and disease-specific forums. Our project addresses the detection and extraction of ADR from medical forums and social media across different languages using cross-lingual transfer learning in combination with external knowledge sources."><link rel=alternate hreflang=en-us href=https://dfki-nlp.github.io/project/bifold/><link rel=preconnect href=https://fonts.gstatic.com crossorigin><meta name=theme-color content="#3f51b5"><script src=../../js/mathjax-config.js></script><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/academicons/1.9.0/css/academicons.min.css integrity="sha512-W4yqoT1+8NLkinBLBZko+dFB2ZbHsYLDdr50VElllRcNt2Q4/GSs6u71UHKxB7S6JEMCp5Ve4xjh3eGQl/HRvg==" crossorigin=anonymous><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.14.0/css/all.min.css integrity="sha256-FMvZuGapsJLjouA6k7Eo2lusoAX9i0ShlWFG6qt7SLc=" crossorigin=anonymous><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.5.7/jquery.fancybox.min.css integrity="sha256-Vzbj7sDDS/woiFS3uNKo8eIuni59rjyNGtXfstRzStA=" crossorigin=anonymous media=print onload="this.media='all'"><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/styles/github.min.css crossorigin=anonymous title=hl-light media=print onload="this.media='all'"><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.2.0/styles/dracula.min.css crossorigin=anonymous title=hl-dark media=print onload="this.media='all'" disabled><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.7.1/leaflet.min.css integrity="sha512-1xoFisiGdy9nvho8EgXuXvnpR5GAMSjFwp40gSRE3NwdUdIMIKuPa7bqoUhLD0O/5tPNhteAsE5XyyMi5reQVA==" crossorigin=anonymous media=print onload="this.media='all'"><script src=https://cdnjs.cloudflare.com/ajax/libs/lazysizes/5.2.2/lazysizes.min.js integrity="sha512-TmDwFLhg3UA4ZG0Eb4MIyT1O1Mb+Oww5kFG0uHqXsdbyZz9DcvYQhKpGgNkamAI6h2lGGZq2X8ftOJvF/XjTUg==" crossorigin=anonymous async></script><script src=https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-chtml.js integrity crossorigin=anonymous async></script><link rel=preload as=style href="https://fonts.googleapis.com/css2?family=Montserrat:wght@400;700&family=Roboto+Mono&family=Roboto:wght@400;700&display=swap"><link rel=stylesheet href="https://fonts.googleapis.com/css2?family=Montserrat:wght@400;700&family=Roboto+Mono&family=Roboto:wght@400;700&display=swap" media=print onload="this.media='all'"><link rel=stylesheet href=../../css/wowchemy.0abaadd3907f09eb28431199a31e5765.css><link rel=manifest href=../../index.webmanifest><link rel=icon type=image/png href=../../images/icon_hu15d4cd24fad375030c8e4d8f45deb950_164099_32x32_fill_lanczos_center_2.png><link rel=apple-touch-icon type=image/png href=../../images/icon_hu15d4cd24fad375030c8e4d8f45deb950_164099_180x180_fill_lanczos_center_2.png><link rel=canonical href=https://dfki-nlp.github.io/project/bifold/><meta property="twitter:card" content="summary_large_image"><meta property="og:site_name" content="DFKI-NLP"><meta property="og:url" content="https://dfki-nlp.github.io/project/bifold/"><meta property="og:title" content="BIFOLD | DFKI-NLP"><meta property="og:description" content="BIFOLD conducts foundational research in big data management and machine learning, as well as its intersection, to educate future talent, and create high-impact knowledge exchange. The Berlin Institute for the Foundations of Learning and Data (BIFOLD), has evolved in 2019 from the merger of two national Artificial Intelligence Competence Centers: the Berlin Big Data Center (BBDC) and the Berlin Center for Machine Learning (BZML). Embedded in the vibrant Berlin metropolitan area, BIFOLD provides an outstanding scientific environment and numerous collaboration opportunities for national and international researchers. BIFOLD offers a broad range of research topics as well as a platform for interdisciplinary research and knowledge exchange with the sciences and humanities, industry, startups and society. Within BIFOLD, DFKI SLT conducts research in Clinical AI, specifically addressing the task of Pharmacovigilance. Pharmacovigilance is concerned with the assessment and prevention of adverse drug reactions (ADR) in pharmaceutical products. As the level of medication is generally raising all over the world, the potential risk of unwanted side effects, such as ADRs, is constantly increasing. Patients exchange views in their own language as 'experts in their own right,' in social media and disease-specific forums. Our project addresses the detection and extraction of ADR from medical forums and social media across different languages using cross-lingual transfer learning in combination with external knowledge sources."><meta property="og:image" content="https://dfki-nlp.github.io/project/bifold/featured.png"><meta property="twitter:image" content="https://dfki-nlp.github.io/project/bifold/featured.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2022-01-20T11:16:31+01:00"><meta property="article:modified_time" content="2022-01-20T11:16:31+01:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://dfki-nlp.github.io/project/bifold/"},"headline":"BIFOLD","image":["https://dfki-nlp.github.io/project/bifold/featured.png"],"datePublished":"2022-01-20T11:16:31+01:00","dateModified":"2022-01-20T11:16:31+01:00","author":{"@type":"Person","name":"Philippe Thomas"},"publisher":{"@type":"Organization","name":"DFKI-NLP","logo":{"@type":"ImageObject","url":"https://dfki-nlp.github.io/images/icon_hu15d4cd24fad375030c8e4d8f45deb950_164099_192x192_fill_lanczos_center_2.png"}},"description":"BIFOLD conducts foundational research in big data management and machine learning, as well as its intersection, to educate future talent, and create high-impact knowledge exchange. The Berlin Institute for the Foundations of Learning and Data (BIFOLD), has evolved in 2019 from the merger of two national Artificial Intelligence Competence Centers: the Berlin Big Data Center (BBDC) and the Berlin Center for Machine Learning (BZML). Embedded in the vibrant Berlin metropolitan area, BIFOLD provides an outstanding scientific environment and numerous collaboration opportunities for national and international researchers. BIFOLD offers a broad range of research topics as well as a platform for interdisciplinary research and knowledge exchange with the sciences and humanities, industry, startups and society. Within BIFOLD, DFKI SLT conducts research in Clinical AI, specifically addressing the task of Pharmacovigilance. Pharmacovigilance is concerned with the assessment and prevention of adverse drug reactions (ADR) in pharmaceutical products. As the level of medication is generally raising all over the world, the potential risk of unwanted side effects, such as ADRs, is constantly increasing. Patients exchange views in their own language as 'experts in their own right,' in social media and disease-specific forums. Our project addresses the detection and extraction of ADR from medical forums and social media across different languages using cross-lingual transfer learning in combination with external knowledge sources."}</script><script src=https://cdnjs.cloudflare.com/ajax/libs/cookieconsent2/3.1.1/cookieconsent.min.js integrity="sha256-5VhCqFam2Cn+yjw61zbBNrbHVJ6SRydPeKopYlngbiQ=" crossorigin=anonymous></script><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/cookieconsent2/3.1.1/cookieconsent.min.css integrity="sha256-zQ0LblD/Af8vOppw18+2anxsuaz3pWYyVWi+bTvTH8Q=" crossorigin=anonymous><script>window.addEventListener("load",function(){window.cookieconsent.initialise({palette:{popup:{background:"#3f51b5",text:"rgb(255, 255, 255)"},button:{background:"rgb(255, 255, 255)",text:"#3f51b5"}},theme:"classic",content:{message:"This website uses cookies to ensure you get the best experience on our website.",dismiss:"Got it!",link:"Learn more",href:"/privacy/"}})})</script><title>BIFOLD | DFKI-NLP</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper><script src=../../js/wowchemy-init.min.2e458e5393490f06d99da74a463a188b.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=../../>DFKI-NLP</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar aria-expanded=false aria-label="Toggle navigation">
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-<a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></div><div class=page-body><article class="article article-project"><div class="article-container pt-3"><h1>BIFOLD</h1><div class=article-metadata><div><span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span>, <span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span></div><span class=article-date>Jan 20, 2022</span></div><div class="btn-links mb-3"><a class="btn btn-outline-primary my-1" href=https://bifold.berlin/de/ target=_blank rel=noopener>Go to Project Site</a></div></div><div class="article-header article-container featured-image-wrapper mt-4 mb-4" style=max-width:382px;max-height:93px><div style=position:relative><img src=../../project/bifold/featured.png alt class=featured-image></div></div><div class=article-container><div class=article-style></div><div class=article-tags><a class="badge badge-light" href=../../tag/information-extraction/>Information Extraction</a></div><div class="media author-card content-widget-hr"><a href=../../authors/philippe-thomas/><img class="avatar mr-3 avatar-circle" src=../../authors/philippe-thomas/avatar_hu9e6c4c34209695b1778a33a66e91123d_7885_270x270_fill_q90_lanczos_center.jpg alt="Philippe Thomas"></a><div class=media-body><h5 class=card-title><a href=../../authors/philippe-thomas/>Philippe Thomas</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:philippe.thomas@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=bdUBqlsAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/Erechtheus target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/text2tech/>Text2Tech</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/deeplee/>DEEPLEE</a></li><li><a href=../../project/sim3s/>SIM3S</a></li></ul></div><div class="project-related-pages content-widget-hr"></div></div></article></div><div class=page-footer><div class=container><footer class=site-footer><p class=powered-by><a href=../../privacy/>Data Protection Notice</a>
+<a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></div><div class=page-body><article class="article article-project"><div class="article-container pt-3"><h1>BIFOLD</h1><div class=article-metadata><div><span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span>, <span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span></div><span class=article-date>Jan 20, 2022</span></div><div class="btn-links mb-3"><a class="btn btn-outline-primary my-1" href=https://bifold.berlin/de/ target=_blank rel=noopener>Go to Project Site</a></div></div><div class="article-header article-container featured-image-wrapper mt-4 mb-4" style=max-width:382px;max-height:93px><div style=position:relative><img src=../../project/bifold/featured.png alt class=featured-image></div></div><div class=article-container><div class=article-style></div><div class=article-tags><a class="badge badge-light" href=../../tag/information-extraction/>Information Extraction</a></div><div class="media author-card content-widget-hr"><a href=../../authors/philippe-thomas/><img class="avatar mr-3 avatar-circle" src=../../authors/philippe-thomas/avatar_hu9e6c4c34209695b1778a33a66e91123d_7885_270x270_fill_q90_lanczos_center.jpg alt="Philippe Thomas"></a><div class=media-body><h5 class=card-title><a href=../../authors/philippe-thomas/>Philippe Thomas</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:philippe.thomas@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=bdUBqlsAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/Erechtheus target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/text2tech/>Text2Tech</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/bbdc2/>BBDC2</a></li><li><a href=../../project/deeplee/>DEEPLEE</a></li></ul></div><div class="project-related-pages content-widget-hr"></div></div></article></div><div class=page-footer><div class=container><footer class=site-footer><p class=powered-by><a href=../../privacy/>Data Protection Notice</a>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=../../>DFKI-NLP</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=../../#about><span>Home</span></a></li><li class=nav-item><a class=nav-link href=../../#news><span>News</span></a></li><li class=nav-item><a class=nav-link href=../../#people><span>People</span></a></li><li class=nav-item><a class=nav-link href=../../#publications><span>Publications</span></a></li><li class=nav-item><a class=nav-link href=../../#projects><span>Projects</span></a></li><li class=nav-item><a class=nav-link href=../../#datasets><span>Datasets</span></a></li><li class=nav-item><a class=nav-link href=../../#contact><span>Contact</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li><li class="nav-item dropdown theme-dropdown"><a href=# class=nav-link data-toggle=dropdown aria-haspopup=true aria-label="Display preferences"><i class="fas fa-moon" aria-hidden=true></i></a><div class=dropdown-menu><a href=# class="dropdown-item js-set-theme-light"><span>Light</span></a>
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 <a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></div><div class=page-body><article class="article article-project"><div class="article-container pt-3"><h1>Cora4NLP</h1><div class=article-metadata><div><span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span>, <span><a href=../../authors/christoph-alt/>Christoph Alt</a></span></div><span class=article-date>Feb 23, 2021</span></div><div class="btn-links mb-3"><a class="btn btn-outline-primary my-1" href=https://cora4nlp.github.io target=_blank rel=noopener>Go to Project Site</a></div></div><div class="article-header article-container featured-image-wrapper mt-4 mb-4" style=max-width:244px;max-height:170px><div style=position:relative><img src=../../project/cora4nlp/featured.jpg alt class=featured-image></div></div><div class=article-container><div class=article-style></div><div class=article-tags><a class="badge badge-light" href=../../tag/information-extraction/>Information Extraction</a>
-<a class="badge badge-light" href=../../tag/language-understanding/>Language Understanding</a></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="media author-card content-widget-hr"><a href=../../authors/christoph-alt/><img class="avatar mr-3 avatar-circle" src=../../authors/christoph-alt/avatar_hu6840e090b4b222e0567db036b6b5aa87_327354_270x270_fill_q90_lanczos_center.jpg alt="Christoph Alt"></a><div class=media-body><h5 class=card-title><a href=../../authors/christoph-alt/>Christoph Alt</a></h5><ul class=network-icon aria-hidden=true><li><a href=../../#contact><i class="fas fa-envelope"></i></a></li><li><a href=https://www.linkedin.com/in/ChristophAlt target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href="https://scholar.google.com/citations?user=JiJIrfwAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/ChristophAlt target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/deeplee/>DEEPLEE</a></li><li><a href=../../dataset/german-patient-adr/>German Adverse Drug Reaction (ADR) detection in patient-generated content</a></li><li><a href=../../dataset/dfki-mobasa-corpus/>MobASA Corpus</a></li><li><a href=../../dataset/dfki-mobie-corpus/>MobIE Corpus</a></li><li><a href=../../dataset/dfki-product-corpus/>Product Corpus</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/konvens2023-binsumait-etal-factuality/>Factuality Detection using Machine Translation - a Use Case for German Clinical Text</a></div><a href=../../publication/konvens2023-binsumait-etal-factuality/ class=summary-link><div class=article-style>Factuality can play an important role when automatically processing clinical text, as it makes a difference if particular symptoms are …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/mohammed-bin-sumait/>Mohammed Bin Sumait</a></span>, <span><a href=../../authors/aleksandra-gabryszak/>Aleksandra Gabryszak</a></span>, <span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span>, <span><a href=../../authors/roland-roller/>Roland Roller</a></span></div></div><div class=btn-links><a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/konvens2023-binsumait-etal-factuality/cite.bib>Cite</a>
+<a class="badge badge-light" href=../../tag/language-understanding/>Language Understanding</a></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="media author-card content-widget-hr"><a href=../../authors/christoph-alt/><img class="avatar mr-3 avatar-circle" src=../../authors/christoph-alt/avatar_hu6840e090b4b222e0567db036b6b5aa87_327354_270x270_fill_q90_lanczos_center.jpg alt="Christoph Alt"></a><div class=media-body><h5 class=card-title><a href=../../authors/christoph-alt/>Christoph Alt</a></h5><ul class=network-icon aria-hidden=true><li><a href=../../#contact><i class="fas fa-envelope"></i></a></li><li><a href=https://www.linkedin.com/in/ChristophAlt target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href="https://scholar.google.com/citations?user=JiJIrfwAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/ChristophAlt target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/deeplee/>DEEPLEE</a></li><li><a href=../../dataset/german-patient-adr/>German Adverse Drug Reaction (ADR) detection in patient-generated content</a></li><li><a href=../../dataset/dfki-mobasa-corpus/>MobASA Corpus</a></li><li><a href=../../dataset/dfki-mobie-corpus/>MobIE Corpus</a></li><li><a href=../../dataset/dfki-smartdata-corpus/>SmartData Corpus</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/konvens2023-binsumait-etal-factuality/>Factuality Detection using Machine Translation - a Use Case for German Clinical Text</a></div><a href=../../publication/konvens2023-binsumait-etal-factuality/ class=summary-link><div class=article-style>Factuality can play an important role when automatically processing clinical text, as it makes a difference if particular symptoms are …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/mohammed-bin-sumait/>Mohammed Bin Sumait</a></span>, <span><a href=../../authors/aleksandra-gabryszak/>Aleksandra Gabryszak</a></span>, <span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span>, <span><a href=../../authors/roland-roller/>Roland Roller</a></span></div></div><div class=btn-links><a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/konvens2023-binsumait-etal-factuality/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=../../project/cora4nlp/>Project</a></div></div><div class=ml-3></div></div><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/acl2023-hennig-multitacred/>MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset</a></div><a href=../../publication/acl2023-hennig-multitacred/ class=summary-link><div class=article-style>Relation extraction (RE) is a fundamental task in information extraction, whose extension to multilingual settings has been hindered by …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span>, <span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span>, <span><a href=../../authors/sebastian-moller/>Sebastian Möller</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/pdf/2305.04582.pdf target=_blank rel=noopener>PDF</a>
 <a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/acl2023-hennig-multitacred/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/DFKI-NLP/MultiTACRED target=_blank rel=noopener>Code</a>
diff --git a/project/plass/index.html b/project/plass/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=../../>DFKI-NLP</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=../../#about><span>Home</span></a></li><li class=nav-item><a class=nav-link href=../../#news><span>News</span></a></li><li class=nav-item><a class=nav-link href=../../#people><span>People</span></a></li><li class=nav-item><a class=nav-link href=../../#publications><span>Publications</span></a></li><li class=nav-item><a class=nav-link href=../../#projects><span>Projects</span></a></li><li class=nav-item><a class=nav-link href=../../#datasets><span>Datasets</span></a></li><li class=nav-item><a class=nav-link href=../../#contact><span>Contact</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li><li class="nav-item dropdown theme-dropdown"><a href=# class=nav-link data-toggle=dropdown aria-haspopup=true aria-label="Display preferences"><i class="fas fa-moon" aria-hidden=true></i></a><div class=dropdown-menu><a href=# class="dropdown-item js-set-theme-light"><span>Light</span></a>
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 <a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></div><div class=page-body><article class="article article-project"><div class="article-container pt-3"><h1>PLASS</h1><div class=article-metadata><div><span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span>, <span><a href=../../authors/christoph-alt/>Christoph Alt</a></span></div><span class=article-date>Feb 23, 2021</span></div><div class="btn-links mb-3"><a class="btn btn-outline-primary my-1" href=https://plass.io target=_blank rel=noopener>Go to Project Site</a></div></div><div class="article-header article-container featured-image-wrapper mt-4 mb-4" style=max-width:377px;max-height:150px><div style=position:relative><img src=../../project/plass/featured.png alt class=featured-image></div></div><div class=article-container><div class=article-style></div><div class=article-tags><a class="badge badge-light" href=../../tag/information-extraction/>Information Extraction</a>
-<a class="badge badge-light" href=../../tag/low-resource-learning/>Low-Resource Learning</a></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="media author-card content-widget-hr"><a href=../../authors/christoph-alt/><img class="avatar mr-3 avatar-circle" src=../../authors/christoph-alt/avatar_hu6840e090b4b222e0567db036b6b5aa87_327354_270x270_fill_q90_lanczos_center.jpg alt="Christoph Alt"></a><div class=media-body><h5 class=card-title><a href=../../authors/christoph-alt/>Christoph Alt</a></h5><ul class=network-icon aria-hidden=true><li><a href=../../#contact><i class="fas fa-envelope"></i></a></li><li><a href=https://www.linkedin.com/in/ChristophAlt target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href="https://scholar.google.com/citations?user=JiJIrfwAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/ChristophAlt target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/text2tech/>Text2Tech</a></li><li><a href=../../project/bifold/>BIFOLD</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/sim3s/>SIM3S</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/acl2023-hennig-multitacred/>MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset</a></div><a href=../../publication/acl2023-hennig-multitacred/ class=summary-link><div class=article-style>Relation extraction (RE) is a fundamental task in information extraction, whose extension to multilingual settings has been hindered by …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span>, <span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span>, <span><a href=../../authors/sebastian-moller/>Sebastian Möller</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/pdf/2305.04582.pdf target=_blank rel=noopener>PDF</a>
+<a class="badge badge-light" href=../../tag/low-resource-learning/>Low-Resource Learning</a></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="media author-card content-widget-hr"><a href=../../authors/christoph-alt/><img class="avatar mr-3 avatar-circle" src=../../authors/christoph-alt/avatar_hu6840e090b4b222e0567db036b6b5aa87_327354_270x270_fill_q90_lanczos_center.jpg alt="Christoph Alt"></a><div class=media-body><h5 class=card-title><a href=../../authors/christoph-alt/>Christoph Alt</a></h5><ul class=network-icon aria-hidden=true><li><a href=../../#contact><i class="fas fa-envelope"></i></a></li><li><a href=https://www.linkedin.com/in/ChristophAlt target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href="https://scholar.google.com/citations?user=JiJIrfwAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/ChristophAlt target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/text2tech/>Text2Tech</a></li><li><a href=../../project/bifold/>BIFOLD</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/bbdc2/>BBDC2</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/acl2023-hennig-multitacred/>MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset</a></div><a href=../../publication/acl2023-hennig-multitacred/ class=summary-link><div class=article-style>Relation extraction (RE) is a fundamental task in information extraction, whose extension to multilingual settings has been hindered by …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span>, <span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span>, <span><a href=../../authors/sebastian-moller/>Sebastian Möller</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/pdf/2305.04582.pdf target=_blank rel=noopener>PDF</a>
 <a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/acl2023-hennig-multitacred/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/DFKI-NLP/MultiTACRED target=_blank rel=noopener>Code</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://catalog.ldc.upenn.edu/LDC2024T09 target=_blank rel=noopener>Dataset</a>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.0.0-beta.2 for Hugo"><meta name=author content="DFKI-NLP"><meta name=description content="In the SIM3S project, data from the BMVI data offerings mCloud and MDM will be linked, refined and jointly analysed with other open data, user-generated content and data from individual modes of transport and other mobility-relevant companies in order to remove barriers and barriers to discrimination in everyday mobility. 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For the implementation of the project, state-of-the-art technologies and methods from the areas of Big Data Intelligent Analysis of mass data and artificial intelligence, in particular Natural Language Processing (NLP), are used."><meta property="og:image" content="https://dfki-nlp.github.io/project/sim3s/featured.png"><meta property="twitter:image" content="https://dfki-nlp.github.io/project/sim3s/featured.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2021-02-23T11:16:31+01:00"><meta property="article:modified_time" content="2021-02-23T11:16:31+01:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://dfki-nlp.github.io/project/sim3s/"},"headline":"SIM3S","image":["https://dfki-nlp.github.io/project/sim3s/featured.png"],"datePublished":"2021-02-23T11:16:31+01:00","dateModified":"2021-02-23T11:16:31+01:00","author":{"@type":"Person","name":"Philippe Thomas"},"publisher":{"@type":"Organization","name":"DFKI-NLP","logo":{"@type":"ImageObject","url":"https://dfki-nlp.github.io/images/icon_hu15d4cd24fad375030c8e4d8f45deb950_164099_192x192_fill_lanczos_center_2.png"}},"description":"In the SIM3S project, data from the BMVI data offerings mCloud and MDM will be linked, refined and jointly analysed with other open data, user-generated content and data from individual modes of transport and other mobility-relevant companies in order to remove barriers and barriers to discrimination in everyday mobility. For the implementation of the project, state-of-the-art technologies and methods from the areas of Big Data Intelligent Analysis of mass data and artificial intelligence, in particular Natural Language Processing (NLP), are used."}</script><script src=https://cdnjs.cloudflare.com/ajax/libs/cookieconsent2/3.1.1/cookieconsent.min.js integrity="sha256-5VhCqFam2Cn+yjw61zbBNrbHVJ6SRydPeKopYlngbiQ=" crossorigin=anonymous></script><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/cookieconsent2/3.1.1/cookieconsent.min.css integrity="sha256-zQ0LblD/Af8vOppw18+2anxsuaz3pWYyVWi+bTvTH8Q=" crossorigin=anonymous><script>window.addEventListener("load",function(){window.cookieconsent.initialise({palette:{popup:{background:"#3f51b5",text:"rgb(255, 255, 255)"},button:{background:"rgb(255, 255, 255)",text:"#3f51b5"}},theme:"classic",content:{message:"This website uses cookies to ensure you get the best experience on our website.",dismiss:"Got it!",link:"Learn more",href:"/privacy/"}})})</script><title>SIM3S | DFKI-NLP</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper><script src=../../js/wowchemy-init.min.2e458e5393490f06d99da74a463a188b.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=../../>DFKI-NLP</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar aria-expanded=false aria-label="Toggle navigation">
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-<a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></div><div class=page-body><article class="article article-project"><div class="article-container pt-3"><h1>SIM3S</h1><div class=article-metadata><div><span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span></div><span class=article-date>Feb 23, 2021</span></div><div class="btn-links mb-3"><a class="btn btn-outline-primary my-1" href=https://www.dfki.de/en/web/research/projects-and-publications/projects-overview/project/sim3s/ target=_blank rel=noopener>Go to Project Site</a></div></div><div class="article-header article-container featured-image-wrapper mt-4 mb-4" style=max-width:300px;max-height:130px><div style=position:relative><img src=../../project/sim3s/featured.png alt class=featured-image></div></div><div class=article-container><div class=article-style></div><div class=article-tags><a class="badge badge-light" href=../../tag/information-extraction/>Information Extraction</a></div><div class="media author-card content-widget-hr"><a href=../../authors/philippe-thomas/><img class="avatar mr-3 avatar-circle" src=../../authors/philippe-thomas/avatar_hu9e6c4c34209695b1778a33a66e91123d_7885_270x270_fill_q90_lanczos_center.jpg alt="Philippe Thomas"></a><div class=media-body><h5 class=card-title><a href=../../authors/philippe-thomas/>Philippe Thomas</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:philippe.thomas@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=bdUBqlsAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/Erechtheus target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/text2tech/>Text2Tech</a></li><li><a href=../../project/bifold/>BIFOLD</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/deeplee/>DEEPLEE</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/lrec2022-gabryszak/>MobASA: Corpus for Aspect-based Sentiment Analysis and Social Inclusion in the Mobility Domain</a></div><a href=../../publication/lrec2022-gabryszak/ class=summary-link><div class=article-style>In this paper we show how aspect-based sentiment analysis might help public transport companies to improve their social responsibility …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/aleksandra-gabryszak/>Aleksandra Gabryszak</a></span>, <span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=http://www.lrec-conf.org/proceedings/lrec2022/workshops/CSRNLP1/pdf/2022.csrnlp1-1.5.pdf target=_blank rel=noopener>PDF</a>
+<a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></div><div class=page-body><article class="article article-project"><div class="article-container pt-3"><h1>SIM3S</h1><div class=article-metadata><div><span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span></div><span class=article-date>Feb 23, 2021</span></div><div class="btn-links mb-3"><a class="btn btn-outline-primary my-1" href=https://www.dfki.de/en/web/research/projects-and-publications/projects-overview/project/sim3s/ target=_blank rel=noopener>Go to Project Site</a></div></div><div class="article-header article-container featured-image-wrapper mt-4 mb-4" style=max-width:300px;max-height:130px><div style=position:relative><img src=../../project/sim3s/featured.png alt class=featured-image></div></div><div class=article-container><div class=article-style></div><div class=article-tags><a class="badge badge-light" href=../../tag/information-extraction/>Information Extraction</a></div><div class="media author-card content-widget-hr"><a href=../../authors/philippe-thomas/><img class="avatar mr-3 avatar-circle" src=../../authors/philippe-thomas/avatar_hu9e6c4c34209695b1778a33a66e91123d_7885_270x270_fill_q90_lanczos_center.jpg alt="Philippe Thomas"></a><div class=media-body><h5 class=card-title><a href=../../authors/philippe-thomas/>Philippe Thomas</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:philippe.thomas@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=bdUBqlsAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/Erechtheus target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/text2tech/>Text2Tech</a></li><li><a href=../../project/bifold/>BIFOLD</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/plass/>PLASS</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/lrec2022-gabryszak/>MobASA: Corpus for Aspect-based Sentiment Analysis and Social Inclusion in the Mobility Domain</a></div><a href=../../publication/lrec2022-gabryszak/ class=summary-link><div class=article-style>In this paper we show how aspect-based sentiment analysis might help public transport companies to improve their social responsibility …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/aleksandra-gabryszak/>Aleksandra Gabryszak</a></span>, <span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=http://www.lrec-conf.org/proceedings/lrec2022/workshops/CSRNLP1/pdf/2022.csrnlp1-1.5.pdf target=_blank rel=noopener>PDF</a>
 <a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/lrec2022-gabryszak/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=../../project/sim3s/>Project</a></div></div><div class=ml-3></div></div></div></div></article></div><div class=page-footer><div class=container><footer class=site-footer><p class=powered-by><a href=../../privacy/>Data Protection Notice</a>
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-              <div class="course-badge">2025</div>
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-              <td>A Systematic Literature Review of De-identification and Anonymization of Clinical Texts</td>
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-              <td>Bachelor's</td>
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-              <td>Multimodal Explanations for Clinical Decision Support Systems</td>
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-              <td>Data Generation in Benchmarking Models for Detecting Adverse Drug Effects </td>
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-              <td>Evaluating the Detection of Adverse Drug Effects </td>
-              <td>Dorothea MacPhail </td>
-              <td>David Harbecke & Lisa Raithel & Prof. Manfred Stede </td>
-              <td>Individual Module </td>
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-              <td>Medical Concept Normalization in a Low-Resource Setting </td>
-              <td>Tim Patzelt </td>
-              <td>Lisa Raithel & Prof. Manfred Stede </td>
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diff --git a/project/text2tech/index.html b/project/text2tech/index.html
index 9cf3ca7..443399b 100644
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@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=../../>DFKI-NLP</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=../../#about><span>Home</span></a></li><li class=nav-item><a class=nav-link href=../../#news><span>News</span></a></li><li class=nav-item><a class=nav-link href=../../#people><span>People</span></a></li><li class=nav-item><a class=nav-link href=../../#publications><span>Publications</span></a></li><li class=nav-item><a class=nav-link href=../../#projects><span>Projects</span></a></li><li class=nav-item><a class=nav-link href=../../#datasets><span>Datasets</span></a></li><li class=nav-item><a class=nav-link href=../../#contact><span>Contact</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li><li class="nav-item dropdown theme-dropdown"><a href=# class=nav-link data-toggle=dropdown aria-haspopup=true aria-label="Display preferences"><i class="fas fa-moon" aria-hidden=true></i></a><div class=dropdown-menu><a href=# class="dropdown-item js-set-theme-light"><span>Light</span></a>
 <a href=# class="dropdown-item js-set-theme-dark"><span>Dark</span></a>
 <a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></div><div class=page-body><article class="article article-project"><div class="article-container pt-3"><h1>Text2Tech</h1><div class=article-metadata><div><span><a href=../../authors/david-harbecke/>David Harbecke</a></span>, <span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span></div><span class=article-date>Jun 1, 2022</span></div><div class="btn-links mb-3"><a class="btn btn-outline-primary my-1" href=https://www.text2tech.de target=_blank rel=noopener>Go to Project Site</a></div></div><div class="article-header article-container featured-image-wrapper mt-4 mb-4" style=max-width:720px;max-height:327px><div style=position:relative><img src=../../project/text2tech/featured_hud72c98d9abfc553b147f72aefd5a9c16_151052_720x0_resize_lanczos_2.png alt class=featured-image></div></div><div class=article-container><div class=article-style></div><div class=article-tags><a class="badge badge-light" href=../../tag/information-extraction/>Information Extraction</a>
-<a class="badge badge-light" href=../../tag/low-resource-learning/>Low-Resource Learning</a></div><div class="media author-card content-widget-hr"><a href=../../authors/david-harbecke/><img class="avatar mr-3 avatar-circle" src=../../authors/david-harbecke/avatar_hu87a732928d9f1921015e73de9f3f9ceb_50360_270x270_fill_q90_lanczos_center.jpg alt="David Harbecke"></a><div class=media-body><h5 class=card-title><a href=../../authors/david-harbecke/>David Harbecke</a></h5><h6 class=card-subtitle>PhD Candidate</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:david.harbecke@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=km2yuA4AAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/harbecke target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/plass/>PLASS</a></li><li><a href=../../project/bifold/>BIFOLD</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/bbdc2/>BBDC2</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/acl2023-hennig-multitacred/>MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset</a></div><a href=../../publication/acl2023-hennig-multitacred/ class=summary-link><div class=article-style>Relation extraction (RE) is a fundamental task in information extraction, whose extension to multilingual settings has been hindered by …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span>, <span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span>, <span><a href=../../authors/sebastian-moller/>Sebastian Möller</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/pdf/2305.04582.pdf target=_blank rel=noopener>PDF</a>
+<a class="badge badge-light" href=../../tag/low-resource-learning/>Low-Resource Learning</a></div><div class="media author-card content-widget-hr"><a href=../../authors/david-harbecke/><img class="avatar mr-3 avatar-circle" src=../../authors/david-harbecke/avatar_hu87a732928d9f1921015e73de9f3f9ceb_50360_270x270_fill_q90_lanczos_center.jpg alt="David Harbecke"></a><div class=media-body><h5 class=card-title><a href=../../authors/david-harbecke/>David Harbecke</a></h5><h6 class=card-subtitle>PhD Candidate</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:david.harbecke@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=km2yuA4AAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/harbecke target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="media author-card content-widget-hr"><a href=../../authors/leonhard-hennig/><img class="avatar mr-3 avatar-circle" src=../../authors/leonhard-hennig/avatar_hu0bd7dae612fe545036f91d2e2e11a312_931324_270x270_fill_lanczos_center_2.png alt="Leonhard Hennig"></a><div class=media-body><h5 class=card-title><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></h5><h6 class=card-subtitle>Senior Researcher</h6><ul class=network-icon aria-hidden=true><li><a href=mailto:leonhard.hennig@dfki.de><i class="fas fa-envelope"></i></a></li><li><a href="https://scholar.google.com/citations?user=V9G-FOoAAAAJ" target=_blank rel=noopener><i class="ai ai-google-scholar"></i></a></li><li><a href=https://github.com/leonhardhennig target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="article-widget content-widget-hr"><h3>Related</h3><ul><li><a href=../../project/data4transparency/>Data4Transparency</a></li><li><a href=../../project/plass/>PLASS</a></li><li><a href=../../project/bifold/>BIFOLD</a></li><li><a href=../../project/cora4nlp/>Cora4NLP</a></li><li><a href=../../project/deeplee/>DEEPLEE</a></li></ul></div><div class="project-related-pages content-widget-hr"><h2>Publications</h2><div class="media stream-item"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=../../publication/acl2023-hennig-multitacred/>MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset</a></div><a href=../../publication/acl2023-hennig-multitacred/ class=summary-link><div class=article-style>Relation extraction (RE) is a fundamental task in information extraction, whose extension to multilingual settings has been hindered by …</div></a><div class="stream-meta article-metadata"><div><span><a href=../../authors/leonhard-hennig/>Leonhard Hennig</a></span>, <span><a href=../../authors/philippe-thomas/>Philippe Thomas</a></span>, <span><a href=../../authors/sebastian-moller/>Sebastian Möller</a></span></div></div><div class=btn-links><a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/pdf/2305.04582.pdf target=_blank rel=noopener>PDF</a>
 <a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/acl2023-hennig-multitacred/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/DFKI-NLP/MultiTACRED target=_blank rel=noopener>Code</a>
 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://catalog.ldc.upenn.edu/LDC2024T09 target=_blank rel=noopener>Dataset</a>
