Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications

Tornike Tsereteli, Yavuz Selim Kartal, Simone Paolo Ponzetto, Andrea Zielinski, Kai Eckert, Philipp Mayr


Abstract
In this paper, we provide an overview of the SV-Ident shared task as part of the 3rd Workshop on Scholarly Document Processing (SDP) at COLING 2022. In the shared task, participants were provided with a sentence and a vocabulary of variables, and asked to identify which variables, if any, are mentioned in individual sentences from scholarly documents in full text. Two teams made a total of 9 submissions to the shared task leaderboard. While none of the teams improve on the baseline systems, we still draw insights from their submissions. Furthermore, we provide a detailed evaluation. Data and baselines for our shared task are freely available at https://github.com/vadis-project/sv-ident.
Anthology ID:
2022.sdp-1.29
Volume:
Proceedings of the Third Workshop on Scholarly Document Processing
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
sdp
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
229–246
Language:
URL:
https://aclanthology.org/2022.sdp-1.29
DOI:
Bibkey:
Cite (ACL):
Tornike Tsereteli, Yavuz Selim Kartal, Simone Paolo Ponzetto, Andrea Zielinski, Kai Eckert, and Philipp Mayr. 2022. Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications. In Proceedings of the Third Workshop on Scholarly Document Processing, pages 229–246, Gyeongju, Republic of Korea. Association for Computational Linguistics.
Cite (Informal):
Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications (Tsereteli et al., sdp 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.sdp-1.29.pdf
Code
 vadis-project/sv-ident
Data
SV-Ident