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Analysing the Submissions to the Same Side Stance Classification Task

verfasst von: Yamen Ajjour, Khalid Al-Khatib
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.
Externe Organisation(en): Bauhaus-Universität Weimar
Typ: Aufsatz in Konferenzband
Seiten: 8-11
Anzahl der Seiten: 4
Publikationsdatum: 01.07.2021
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
Elektronische Version(en): http://ceur-ws.org/Vol-2921/ (Zugang: Offen)

BibTeX

@inproceedings{a6f79c88acda454db486c2eae19fb131,
title = "Analysing the Submissions to the Same Side Stance Classification Task",
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.",
author = "Yamen Ajjour and Khalid Al-Khatib",
note = "Publisher Copyright: Copyright {\textcopyright} 2021 for this paper by its authors.",
year = "2021",
month = jul,
day = "1",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "CEUR WS",
pages = "8--11",
editor = "Yamen Ajjour and Khalid Al-Khatib and Philipp Cimiano and Baff, {Roxanne El} and Basil Ell and Benno Stein and Henning Wachsmuth",
booktitle = "Same Side Stance Classification Shared Task 2019",
}

Letzte Änderung: 08.11.24 Druckversion