Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Same Side Stance Classification Shared Task 2019 |
| Herausgeber/-innen | Yamen Ajjour, Khalid Al-Khatib, Philipp Cimiano, Roxanne El Baff, Basil Ell, Benno Stein, Henning Wachsmuth |
| Seiten | 8-11 |
| Seitenumfang | 4 |
| Publikationsstatus | Veröffentlicht - 1 Juli 2021 |
| Extern publiziert | Ja |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Herausgeber (Verlag) | CEUR WS |
| Band | 2921 |
| ISSN (Print) | 1613-0073 |
Abstract
This paper presents an analysis of the submissions to the first shared task on same-side stance classification. The analysis draws attention to the potential of combining the submissions in ensemble models, demonstrates the cases where the top-performed submissions succeed to resolve the same-side stance and where they did not, and puts forward some suggestions to enhance the datasets used in the shared task.
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Same Side Stance Classification Shared Task 2019. Hrsg. / Yamen Ajjour; Khalid Al-Khatib; Philipp Cimiano; Roxanne El Baff; Basil Ell; Benno Stein; Henning Wachsmuth. 2021. S. 8-11 (CEUR Workshop Proceedings; Band 2921).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
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TY - GEN
T1 - Analysing the Submissions to the Same Side Stance Classification Task
AU - Ajjour, Yamen
AU - Al-Khatib, Khalid
N1 - Publisher Copyright: Copyright © 2021 for this paper by its authors.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - This paper presents an analysis of the submissions to the first shared task on same-side stance classification. The analysis draws attention to the potential of combining the submissions in ensemble models, demonstrates the cases where the top-performed submissions succeed to resolve the same-side stance and where they did not, and puts forward some suggestions to enhance the datasets used in the shared task.
AB - This paper presents an analysis of the submissions to the first shared task on same-side stance classification. The analysis draws attention to the potential of combining the submissions in ensemble models, demonstrates the cases where the top-performed submissions succeed to resolve the same-side stance and where they did not, and puts forward some suggestions to enhance the datasets used in the shared task.
UR - http://www.scopus.com/inward/record.url?scp=85112149235&partnerID=8YFLogxK
M3 - Conference contribution
T3 - CEUR Workshop Proceedings
SP - 8
EP - 11
BT - Same Side Stance Classification Shared Task 2019
A2 - Ajjour, Yamen
A2 - Al-Khatib, Khalid
A2 - Cimiano, Philipp
A2 - Baff, Roxanne El
A2 - Ell, Basil
A2 - Stein, Benno
A2 - Wachsmuth, Henning
ER -