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

Manuel Rafael Ciosici; Ira Assent

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

Manuel Rafael Ciosici, Ira Assent

Institut for Datalogi

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

2 Citationer (Scopus)

194 Downloads (Pure)

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.

Originalsprog	Engelsk
Titel	NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies - Proceedings of the Demonstrations Session
Redaktører	Waleed Ammar, Annie Louis, Nasrin Mostafazadeh
Antal sider	5
Udgivelsessted	Minneapolis
Forlag	Association for Computational Linguistics
Publikationsdato	2019
Sider	1-5
ISBN (Elektronisk)	9781950737161
Status	Udgivet - 2019
Begivenhed	Annual Conference of the North American Chapter of the Association for Computational Linguistics - Hyatt Regency, Minneapolis, USA Varighed: 3 jun. 2019 → 5 jun. 2019 https://naacl2019.org

Konference

Konference	Annual Conference of the North American Chapter of the Association for Computational Linguistics
Lokation	Hyatt Regency
Land/Område	USA
By	Minneapolis
Periode	03/06/2019 → 05/06/2019
Internetadresse	https://naacl2019.org

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Published PaperForlagets udgivne version, 328 KB

https://aclweb.org/anthology/papers/N/N19/N19-4001/

2 Citationer
1 Ph.d.-afhandling

Characterizing Word Representations For Natural Language Processing
Ciosici, M. R., okt. 2019, Aarhus University.
Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling

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Citationsformater

Ciosici, M. R., & Assent, I. (2019). Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. I W. Ammar, A. Louis, & N. Mostafazadeh (red.), NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session (s. 1-5). Association for Computational Linguistics. https://aclweb.org/anthology/papers/N/N19/N19-4001/

Ciosici, Manuel Rafael ; Assent, Ira. / Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. red. / Waleed Ammar ; Annie Louis ; Nasrin Mostafazadeh. Minneapolis : Association for Computational Linguistics, 2019. s. 1-5

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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",

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editor = "Waleed Ammar and Annie Louis and Nasrin Mostafazadeh",

booktitle = "NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics",

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",

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Ciosici, MR & Assent, I 2019, Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. i W Ammar, A Louis & N Mostafazadeh (red), NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. Association for Computational Linguistics, Minneapolis, s. 1-5, Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 03/06/2019. <https://aclweb.org/anthology/papers/N/N19/N19-4001/>

Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. / Ciosici, Manuel Rafael ; Assent, Ira.
NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. red. / Waleed Ammar; Annie Louis; Nasrin Mostafazadeh. Minneapolis: Association for Computational Linguistics, 2019. s. 1-5.

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

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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

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EP - 5

BT - NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics

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A2 - Louis, Annie

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Ciosici MR , Assent I. Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. I Ammar W, Louis A, Mostafazadeh N, red., NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. Minneapolis: Association for Computational Linguistics. 2019. s. 1-5

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

Abstract

Konference

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Publikation

Characterizing Word Representations For Natural Language Processing

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