International Journal of Computational Intelligence Systems

Volume 1, Issue 1, January 2008, Pages 19 - 23

Word Similarity from Dictionaries: Inferring Fuzzy Measures from Fuzzy Graphs

Authors
Vicenc Torra, Yasuo Narukawa
Corresponding Author
Vicenc Torra
Available Online 10 February 2008.
DOI
https://doi.org/10.2991/ijcis.2008.1.1.2How to use a DOI?
Abstract
WORD SIMILARITY FROM DICTIONARIES: INFERRING FUZZY MEASURES FROM FUZZY GRAPHS The computation of similarities between words is a basic element of information retrieval systems, when retrieval is not solely based on word matching. In this work we consider a measure between words based on dictionaries. This is achieved assuming that a dictionary is formalized as a fuzzy graph. We show that the approach permits to compute measures not only for pairs of words but for sets of them.
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
1 - 1
Pages
19 - 23
Publication Date
2008/02
ISSN
1875-6883
DOI
https://doi.org/10.2991/ijcis.2008.1.1.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Vicenc Torra
AU  - Yasuo Narukawa
PY  - 2008
DA  - 2008/02
TI  - Word Similarity from Dictionaries: Inferring Fuzzy Measures from Fuzzy Graphs
JO  - International Journal of Computational Intelligence Systems
SP  - 19
EP  - 23
VL  - 1
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2008.1.1.2
DO  - https://doi.org/10.2991/ijcis.2008.1.1.2
ID  - Torra2008
ER  -