Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study

Nathan Schneider; Behrang Mohit; Kemal Oflazer; Noah A. Smith

Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study

Nathan Schneider, Behrang Mohit, Kemal Oflazer, Noah A. Smith

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

“Lightweight” semantic annotation of text calls for a simple representation, ideally without requiring a semantic lexicon to achieve good coverage in the language and domain. In this paper, we repurpose WordNet’s supersense tags for annotation, developing specific guidelines for nominal expressions and applying them to Arabic Wikipedia articles in four topical domains. The resulting corpus has high coverage and was completed quickly with reasonable inter-annotator agreement.

Original language	English
Title of host publication	Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics
Publisher	Association for Computational Linguistics
Pages	253-258
Number of pages	6
Publication status	Published - 2012

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http://www.aclweb.org/anthology/P12-2050

Cite this

@inproceedings{1a92073e1c954fa1a713a01015fb0ce8,

title = "Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study",

abstract = "“Lightweight” semantic annotation of text calls for a simple representation, ideally without requiring a semantic lexicon to achieve good coverage in the language and domain. In this paper, we repurpose WordNet{\textquoteright}s supersense tags for annotation, developing specific guidelines for nominal expressions and applying them to Arabic Wikipedia articles in four topical domains. The resulting corpus has high coverage and was completed quickly with reasonable inter-annotator agreement.",

author = "Nathan Schneider and Behrang Mohit and Kemal Oflazer and Smith, {Noah A.}",

year = "2012",

language = "English",

pages = "253--258",

booktitle = "Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics",

}

Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study. / Schneider, Nathan; Mohit, Behrang; Oflazer, Kemal et al.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2012. p. 253-258.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study

AU - Schneider, Nathan

AU - Mohit, Behrang

AU - Oflazer, Kemal

AU - Smith, Noah A.

PY - 2012

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N2 - “Lightweight” semantic annotation of text calls for a simple representation, ideally without requiring a semantic lexicon to achieve good coverage in the language and domain. In this paper, we repurpose WordNet’s supersense tags for annotation, developing specific guidelines for nominal expressions and applying them to Arabic Wikipedia articles in four topical domains. The resulting corpus has high coverage and was completed quickly with reasonable inter-annotator agreement.

AB - “Lightweight” semantic annotation of text calls for a simple representation, ideally without requiring a semantic lexicon to achieve good coverage in the language and domain. In this paper, we repurpose WordNet’s supersense tags for annotation, developing specific guidelines for nominal expressions and applying them to Arabic Wikipedia articles in four topical domains. The resulting corpus has high coverage and was completed quickly with reasonable inter-annotator agreement.

M3 - Conference contribution

SP - 253

EP - 258

BT - Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics

PB - Association for Computational Linguistics

ER -

Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study

Abstract / Description of output

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Cite this