Paper Info
Title
Noun sense disambiguation with wordnet for software design retrieval
Abstract
Natural language understanding can be used to improve the usability of intelligent Computer Aided Software Engineering (CASE) tools. For a software designer it can be helpful in two ways: a broad range of natural language terms in the naming of software objects, attributes and methods can be used; and the system is able to understand the meaning of these terms so that it could use them in reasoning mechanisms like information retrieval. But, the problem of word sense disambiguation is an obstacle to the development of computational systems that can fully understand natural language. In order to deal with this problem, this paper presents a word sense disambiguation method and how it is integrated with a CASE tool.
Year
DOI
Venue
2003
10.1007/3-540-44886-1_47
Canadian Conference on AI
Keywords
Field
DocType
word sense disambiguation,case tool,software design retrieval,software object,noun sense disambiguation,broad range,natural language understanding,natural language,software engineering,word sense disambiguation method,software designer,natural language term,software design,computer aided software engineering,noun
SemEval,Software design,Computer science,Usability,Natural language understanding,Natural language,Software,Natural language processing,Artificial intelligence,Computer-aided software engineering,WordNet
Conference
Volume
ISSN
ISBN
2671
0302-9743
3-540-40300-0
Citations 
PageRank 
References 
8
0.71
14
Authors
7
Name
Order
Citations
PageRank
Paulo Gomes180.71
Francisco C. Pereira233133.07
Paulo Paiva31069.85
Nuno Seco444827.86
Paulo Carreiro51069.85
José Luís Ferreira6425.90
Carlos Bento720119.84