Ambiguity spotting using WordnNet semantic similarity in support to recommended practice for software requirements specifications

Jin Matsuoka, Yves Lepage

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

4 Citations (Scopus)

Abstract

Word Sense Disambiguation is a crucial problem in documents whose purpose is to serve as specifications for automatic systems. The combination of different techniques of Natural Language Processing can help in this task. In this paper, we show how to detect ambiguous terms in Software Requirements Specifications. And we propose a computer-aided method that signals the reader for possibly ambiguous usage of terms. The method uses compound term measure (C-value), WordNet semantic similarity (WordNet wup-similarity) and a proposed semantic similarity measure between sentences.

Original languageEnglish
Title of host publicationNLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering
Pages479-484
Number of pages6
DOIs
Publication statusPublished - 2011 Dec 1
Event7th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2011 - Tokushima, Japan
Duration: 2011 Nov 272011 Nov 29

Publication series

NameNLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering

Conference

Conference7th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2011
CountryJapan
CityTokushima
Period11/11/2711/11/29

Keywords

  • Ambiguity spotting
  • C-value
  • Clustering
  • SRS
  • Semantic similarity
  • WordNet

ASJC Scopus subject areas

  • Computer Science Applications

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