Abstract
This paper introduces a new dataset of term annotation. Given that even experts vary significantly in their understanding of termhood, and that term identification is mostly performed as a binary task, we offer a novel perspective to explore the common, natural understanding of what constitutes a term: Laypeople annotate single-word and multi-word terms, across four domains and across four task definitions. Analyses based on inter-annotator agreement offer insights into differences in term specificity, term granularity and subtermhood.- Anthology ID:
- N18-2052
- Volume:
- Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Marilyn Walker, Heng Ji, Amanda Stent
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 321–326
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/N18-2052/
- DOI:
- 10.18653/v1/N18-2052
- Cite (ACL):
- Anna Hätty and Sabine Schulte im Walde. 2018. A Laypeople Study on Terminology Identification across Domains and Task Definitions. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 321–326, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- A Laypeople Study on Terminology Identification across Domains and Task Definitions (Hätty & Schulte im Walde, NAACL 2018)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/N18-2052.pdf