Institute of Artificial Intelligence

Publication Details

Analysing the Submissions to the Same Side Stance Classification Task

authored by: 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.
External Organisation(s): Bauhaus-Universität Weimar
Type: Conference contribution
Volume: 2921
Pages: 8-11
No. of pages: 4
Publication date: 01.07.2021
Publication status: Published
Peer reviewed: Yes
Electronic version(s): http://ceur-ws.org/Vol-2921/ (Access: Unknown)

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",
volume = "2921",
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",
}

Last Change: 05.02.24 Print