Abstract
Prepositional supersense annotation is time-consuming and requires expert training. Here, we present two sensible methods for obtaining prepositional supersense annotations indirectly by eliciting surface substitution and similarity judgments. Four pilot studies suggest that both methods have potential for producing prepositional supersense annotations that are comparable in quality to expert annotations.- Anthology ID:
- 2020.law-1.11
- Volume:
- Proceedings of the 14th Linguistic Annotation Workshop
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain
- Editors:
- Stefanie Dipper, Amir Zeldes
- Venue:
- LAW
- SIG:
- SIGANN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 117–126
- Language:
- URL:
- https://aclanthology.org/2020.law-1.11
- DOI:
- Cite (ACL):
- Luke Gessler, Shira Wein, and Nathan Schneider. 2020. Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions. In Proceedings of the 14th Linguistic Annotation Workshop, pages 117–126, Barcelona, Spain. Association for Computational Linguistics.
- Cite (Informal):
- Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions (Gessler et al., LAW 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2020.law-1.11.pdf