Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Japanese probabilistic information retrieval using location and category information
IRAL '00 Proceedings of the fifth international workshop on on Information retrieval with Asian languages
Using syntactic dependency as local context to resolve word sense ambiguity
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
A stochastic language model using dependency and its improvement by word clustering
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Contextual word similarity and estimation from sparse data
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Similarity-based estimation of word cooccurrence probabilities
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Semantic maps for word alignment in bilingual parallel corpora
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Bilingual semantic network construction
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
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This paper describes a corpus-based connectionist approach to the development of self-organizing Chinese and Japanese semantic maps, proposing an improved coding method using TFIDF term-weighting and newly introducing a numerical evaluation for objectively judging the results. The adaption of TFIDF term-weighting is proved to be effective by experimental comparisons with five other coding methods. The effectiveness and necessity of the proposed method for creating semantic maps are clarified by comparisons with a conventional clustering technique and multivariate statistical analysis.