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

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Standard

Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. / Ciosici, Manuel Rafael; Assent, Ira.

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). ed. / Waleed Ammar; Annie Louis; Nasrin Mostafazadeh. Minneapolis : Association for Computational Linguistics, 2019.

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Ciosici, MR & Assent, I 2019, Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. in W Ammar, A Louis & N Mostafazadeh (eds), Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). Association for Computational Linguistics, Minneapolis, Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, United States, 03/06/2019. <https://aclweb.org/anthology/papers/N/N19/N19-4001/>

APA

Ciosici, M. R., & Assent, I. (2019). Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. In W. Ammar, A. Louis, & N. Mostafazadeh (Eds.), Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations) Association for Computational Linguistics. https://aclweb.org/anthology/papers/N/N19/N19-4001/

CBE

Ciosici MR, Assent I. 2019. Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. Ammar W, Louis A, Mostafazadeh N, editors. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). Minneapolis: Association for Computational Linguistics.

MLA

Ciosici, Manuel Rafael and Ira Assent "Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation"., Ammar, Waleed Louis, Annie Mostafazadeh, Nasrin (editors). Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). Minneapolis: Association for Computational Linguistics. 2019.

Vancouver

Ciosici MR, Assent I. Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. In Ammar W, Louis A, Mostafazadeh N, editors, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). Minneapolis: Association for Computational Linguistics. 2019

Author

Ciosici, Manuel Rafael ; Assent, Ira. / Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). editor / Waleed Ammar ; Annie Louis ; Nasrin Mostafazadeh. Minneapolis : Association for Computational Linguistics, 2019.

Bibtex

@inproceedings{dd5d0650a6094f57906a477a39fa1997,
title = "Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation",
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.",
author = "Ciosici, {Manuel Rafael} and Ira Assent",
year = "2019",
language = "English",
editor = "Waleed Ammar and Annie Louis and Nasrin Mostafazadeh",
booktitle = "Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)",
publisher = "Association for Computational Linguistics",
note = "Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL ; Conference date: 03-06-2019 Through 05-06-2019",
url = "https://naacl2019.org",

}

RIS

TY - GEN

T1 - Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation

AU - Ciosici, Manuel Rafael

AU - Assent, Ira

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

M3 - Article in proceedings

BT - Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)

A2 - Ammar, Waleed

A2 - Louis, Annie

A2 - Mostafazadeh, Nasrin

PB - Association for Computational Linguistics

CY - Minneapolis

T2 - Annual Conference of the North American Chapter of the Association for Computational Linguistics

Y2 - 3 June 2019 through 5 June 2019

ER -