DocumentCode
3143086
Title
Ambiguity spotting using wordnet semantic similarity in support to recommended practice for Software Requirements Specifications
Author
Matsuoka, Jin ; Lepage, Yves
Author_Institution
IPS, Waseda Univ., Kitakyushu, Japan
fYear
2011
fDate
27-29 Nov. 2011
Firstpage
479
Lastpage
484
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
formal specification; natural language processing; WordNet semantic similarity; ambiguity spotting; compound term measure; natural language processing; software requirements specification; Compounds; IEEE standards; Lighting; Natural language processing; Programming; Semantics; Software; Ambiguity spotting; C-value; Clustering; SRS; Semantic similarity; WordNet;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing andKnowledge Engineering (NLP-KE), 2011 7th International Conference on
Conference_Location
Tokushima
Print_ISBN
978-1-61284-729-0
Type
conf
DOI
10.1109/NLPKE.2011.6138247
Filename
6138247
Link To Document