Abstract
Temporal Dependency Trees are a structured temporal representation that represents temporal relations among time expressions and events in a text as a dependency tree structure. Compared to traditional pair-wise temporal relation representations, temporal dependency trees facilitate efficient annotations, higher inter-annotator agreement, and efficient computations. However, annotations on temporal dependency trees so far have only been done by expert annotators, which is costly and time-consuming. In this paper, we introduce a method to crowdsource temporal dependency tree annotations, and show that this representation is intuitive and can be collected with high accuracy and agreement through crowdsourcing. We produce a corpus of temporal dependency trees, and present a baseline temporal dependency parser, trained and evaluated on this new corpus.- Anthology ID:
- S19-1019
- Volume:
- Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota
- Editors:
- Rada Mihalcea, Ekaterina Shutova, Lun-Wei Ku, Kilian Evang, Soujanya Poria
- Venue:
- *SEM
- SIGs:
- SIGLEX | SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 178–185
- Language:
- URL:
- https://aclanthology.org/S19-1019
- DOI:
- 10.18653/v1/S19-1019
- Cite (ACL):
- Yuchen Zhang and Nianwen Xue. 2019. Acquiring Structured Temporal Representation via Crowdsourcing: A Feasibility Study. In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), pages 178–185, Minneapolis, Minnesota. Association for Computational Linguistics.
- Cite (Informal):
- Acquiring Structured Temporal Representation via Crowdsourcing: A Feasibility Study (Zhang & Xue, *SEM 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/S19-1019.pdf