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 proceedingConference contribution

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’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 languageEnglish
Title of host publicationProceedings of the 50th Annual Meeting of the Association for Computational Linguistics
PublisherAssociation for Computational Linguistics
Pages253-258
Number of pages6
Publication statusPublished - 2012

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