A discriminative alignment model for abbreviation recognition

Naoaki Okazaki, Sophia Ananiadou, Jun'ichi Tsujii

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper presents a discriminative alignment model for extracting abbreviations and their full forms appearing in actual text. The task of abbreviation recognition is formalized as a sequential alignment problem, which finds the optimal alignment (origins of abbreviation letters) between two strings (abbreviation and full form). We design a large amount of finegrained features that directly express the events where letters produce or do not produce abbreviations. We obtain the optimal combination of features on an aligned abbreviation corpus by using the maximum entropy framework. The experimental results show the usefulness of the alignment model and corpus for improving abbreviation recognition.

Original languageEnglish
Title of host publicationColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages657-664
Number of pages8
ISBN (Print)9781905593446
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event22nd International Conference on Computational Linguistics, Coling 2008 - Manchester, United Kingdom
Duration: 2008 Aug 182008 Aug 22

Publication series

NameColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
Volume1

Other

Other22nd International Conference on Computational Linguistics, Coling 2008
CountryUnited Kingdom
CityManchester
Period08/8/1808/8/22

ASJC Scopus subject areas

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Linguistics and Language

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  • Cite this

    Okazaki, N., Ananiadou, S., & Tsujii, J. (2008). A discriminative alignment model for abbreviation recognition. In Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference (pp. 657-664). (Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference; Vol. 1). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1599081.1599164