Name
Title | ||
|---|---|---|
Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications. |
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 |
Year | Venue | DocType |
|---|---|---|
2022 | International Conference on Computational Linguistics | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tornike Tsereteli | 1 | 0 | 0.34 |
| Yavuz Selim Kartal | 2 | 0 | 2.70 |
| Simone Paolo Ponzetto | 3 | 2280 | 129.35 |
| Andrea Zielinski | 4 | 1 | 0.70 |
| Kai Eckert | 5 | 150 | 23.67 |
| Philipp Mayr | 6 | 12 | 4.64 |