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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:[email protected]><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:[email protected]><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>
+<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:[email protected]><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:[email protected]><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/sim3s/>SIM3S</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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