DocumentCode
2066894
Title
Neural networks and ambiguity in natural language
Author
Sallis, Philip J.
Author_Institution
Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
fYear
1993
fDate
24-26 Nov 1993
Firstpage
102
Lastpage
103
Abstract
An attempt is made to consider the salient issues facing researchers who are examining the problems surrounding the resolution of ambiguity in natural language where computational analysis is performed for interpretative (understanding) purposes. Ambiguity in natural language has been chosen because it continues to be an elusive problem for computational linguistic researchers. No attempt to conduct a comprehensive and exhaustive literature review has been made. Rather, a selection of recent published papers has provided the basis for the analysis now presented here
Keywords
computational linguistics; natural languages; neural nets; ambiguity; computational analysis; computational linguistic researchers; natural language; neural networks; Context; Fuzzy set theory; Fuzzy sets; Information retrieval; Information science; Intelligent networks; Natural language processing; Natural languages; Neural networks; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-4260-2
Type
conf
DOI
10.1109/ANNES.1993.323071
Filename
323071
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