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

Jin Matsuoka*, Yves Lepage

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルNLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering
ページ479-484
ページ数6
DOI
出版ステータスPublished - 2011
イベント7th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2011 - Tokushima, Japan
継続期間: 2011 11 272011 11 29

出版物シリーズ

名前NLP-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
国/地域Japan
CityTokushima
Period11/11/2711/11/29

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用

フィンガープリント

「Ambiguity spotting using WordnNet semantic similarity in support to recommended practice for software requirements specifications」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル