add apper: DFKI-MLST at DialAM-2024 Shared Task: System Description

DFKI-NLP · Aug 21, 2024 · db01536 · db01536
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diff --git a/content/post/acl2024/index.md b/content/post/acl2024/index.md
@@ -35,7 +35,7 @@ The participation in the conference was supported by current research projects,
 The DFKI papers presented at the conference are the following:  
 
 {{< cite page="/publication/acl2024-raki-chen" view="4" >}}
-{{< cite page="/publication/acl2024-dialam-binder" view="4" >}}
+{{< cite page="/publication/binder-etal-2024-dfki" view="4" >}}
 {{< cite page="/publication/acl2024-evaluating-macphail" view="4" >}}
 {{< cite page="/publication/acl2024-symmetric-courtois" view="4" >}}
 {{< cite page="/publication/acl2024-towards-maschhur" view="4" >}}

diff --git a/...ublication/acl2024-dialam-binder/cite.bib → ...ublication/binder-etal-2024-dfki/cite.bib b/...ublication/acl2024-dialam-binder/cite.bib → ...ublication/binder-etal-2024-dfki/cite.bib
@@ -17,4 +17,4 @@ @inproceedings{binder-etal-2024-dfki
     url = "https://aclanthology.org/2024.argmining-1.9",
     pages = "93--102",
     abstract = "This paper presents the dfki-mlst submission for the DialAM shared task (Ruiz-Dolz et al., 2024) on identification of argumentative and illocutionary relations in dialogue. Our model achieves best results in the global setting: 48.25 F1 at the focused level when looking only at the related arguments/locutions and 67.05 F1 at the general level when evaluating the complete argument maps. We describe our implementation of the data pre-processing, relation encoding and classification, evaluating 11 different base models and performing experiments with, e.g., node text combination and data augmentation. Our source code is publicly available.",
-}
+}
diff --git a/...ublication/acl2024-dialam-binder/index.md → ...ublication/binder-etal-2024-dfki/index.md b/...ublication/acl2024-dialam-binder/index.md → ...ublication/binder-etal-2024-dfki/index.md
@@ -3,11 +3,11 @@
 
 title: "DFKI-MLST at DialAM-2024 Shared Task: System Description"
 authors: [Arne Binder, Tatiana Anikina, Leonhard Hennig, Simon Ostermann]
-date: 2024-07-12T00:00:00+00:00
+date: 2024-08-15T00:00:00+00:00
 doi: ""
 
 # Schedule page publish date (NOT publication's date).
-publishDate: 2024-07-12T00:00:00+00:00
+# publishDate: 2024-00-21T00:00:00+00:00
 
 # Publication type.
 # Legend: 0 = Uncategorized; 1 = Conference paper; 2 = Journal article;
@@ -19,7 +19,7 @@ publication_types: ["1"]
 publication: "Proceedings of the 11th Workshop on Argument Mining"
 publication_short: "ArgMining 2024"
 
-abstract: ""
+abstract: "This paper presents the dfki-mlst submission for the DialAM shared task (Ruiz-Dolz et al., 2024) on identification of argumentative and illocutionary relations in dialogue. Our model achieves best results in the global setting: 48.25 F1 at the focused level when looking only at the related arguments/locutions and 67.05 F1 at the general level when evaluating the complete argument maps. We describe our implementation of the data pre-processing, relation encoding and classification, evaluating 11 different base models and performing experiments with, e.g., node text combination and data augmentation. Our source code is publicly available."
 
 # Summary. An optional shortened abstract.
 summary: ""
@@ -36,8 +36,8 @@ featured: false
 #   icon_pack: fab
 #   icon: twitter
 
-url_pdf: ""
-url_code: ""
+url_pdf: "https://aclanthology.org/2024.argmining-1.9.pdf"
+url_code: "https://github.com/ArneBinder/dialam-2024-shared-task"
 url_dataset:
 url_poster:
 url_project: