Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation

Manuel R. Ciosici, Ira Assent


Abstract
We present Abbreviation Explorer, a system that supports interactive exploration of abbreviations that are challenging for Unsupervised Abbreviation Disambiguation (UAD). Abbreviation Explorer helps to identify long-forms that are easily confused, and to pinpoint likely causes such as limitations of normalization, language switching, or inconsistent typing. It can also support determining which long-forms would benefit from additional input text for unsupervised abbreviation disambiguation. The system provides options for creating corrective rules that merge redundant long-forms with identical meaning. The identified rules can be easily applied to the already existing vector spaces used by UAD to improve disambiguation performance, while also avoiding the cost of retraining.
Anthology ID:
N19-4001
Volume:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Editors:
Waleed Ammar, Annie Louis, Nasrin Mostafazadeh
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–5
Language:
URL:
https://aclanthology.org/N19-4001
DOI:
10.18653/v1/N19-4001
Bibkey:
Cite (ACL):
Manuel R. Ciosici and Ira Assent. 2019. Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pages 1–5, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation (Ciosici & Assent, NAACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/N19-4001.pdf