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 :
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