@inproceedings{0ac778c8cbf44fd79b2c27d004da6382,
title = "Ambiguity spotting using WordnNet semantic similarity in support to recommended practice for software requirements specifications",
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.",
keywords = "Ambiguity spotting, C-value, Clustering, SRS, Semantic similarity, WordNet",
author = "Jin Matsuoka and Yves Lepage",
year = "2011",
doi = "10.1109/NLPKE.2011.6138247",
language = "English",
isbn = "9781612847283",
series = "NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering",
pages = "479--484",
booktitle = "NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering",
note = "7th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2011 ; Conference date: 27-11-2011 Through 29-11-2011",
}