Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
ACL '93 Proceedings of the 31st 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
Lexical semantics to disambiguate polysemous phenomena of Japanese adnominal constitutents
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Similarities and differences among semantic behaviors of Japanese adnominal constituents
NAACL-ANLP-SSCNLPS '00 Proceedings of the 2000 NAACL-ANLP Workshop on Syntactic and semantic complexity in natural language processing systems - Volume 1
Automatic thesaurus construction based on grammatical relations
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Neural Networks - 2004 Special issue: New developments in self-organizing systems
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We treat nouns that behave adjectively, which we call adjectival nouns, extracted from large corpora. For example, in "financial world" and "world of finance," "financial" and "finance" are different parts of speech, but their semantic behaviors are similar to each other. We investigate how adjectival nouns are similar to adjectives and different from non-adjectival nouns by using self-organizing semantic maps. We create five kinds of semantic maps, i.e., semantic maps of abstract nouns organized via (1) adjectives, (2) adjectival nouns, (3) non-adjectival nouns and (4) adjectival and adjectival nouns and a semantic map of adjectives, adjectival nouns and non-adjectival nouns organized via collocated abstract nouns, and compare them with each other to find similarities and differences.