Abbreviation Expander - a Web-based System for Easy Reading of Technical Documents

Manuel R. Ciosici, Ira Assent


Abstract
Abbreviations and acronyms are a part of textual communication in most domains. However, abbreviations are not necessarily defined in documents that employ them. Understanding all abbreviations used in a given document often requires extensive knowledge of the target domain and the ability to disambiguate based on context. This creates considerable entry barriers to newcomers and difficulties in automated document processing. Existing abbreviation expansion systems or tools require substantial technical knowledge for set up or make strong assumptions which limit their use in practice. Here, we present Abbreviation Expander, a system that builds on state of the art methods for identification of abbreviations, acronyms and their definitions and a novel disambiguator for abbreviation expansion in an easily accessible web-based solution.
Anthology ID:
C18-2001
Volume:
Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico
Editor:
Dongyan Zhao
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–4
Language:
URL:
https://aclanthology.org/C18-2001
DOI:
Bibkey:
Cite (ACL):
Manuel R. Ciosici and Ira Assent. 2018. Abbreviation Expander - a Web-based System for Easy Reading of Technical Documents. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 1–4, Santa Fe, New Mexico. Association for Computational Linguistics.
Cite (Informal):
Abbreviation Expander - a Web-based System for Easy Reading of Technical Documents (Ciosici & Assent, COLING 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-bitext-workshop/C18-2001.pdf