• 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