Abstract | ||
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The purpose of this research is to acquire new knowledge about the meanings of words by arranging the words in space. We allocated the words and displayed their relationship with each other in a three-dimensional space with a method called Associated Keyword Space (ASKS). In the experiment, the data obtained by ASKS were compared with Thesaurus.com and WordNet, conventional methods of meaning description. The result of the experiment showed two important points. First, the strength of each meaning of a verb with polysemy was expressed by the visual relationship with and distance to associated words. Second, polysemy of the verb was expressed by the extension of the synonyms |
Year | DOI | Venue |
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2006 | 10.1109/CIT.2006.197 | CIT |
Keywords | Field | DocType |
describe word meanings,associated word,word space,three-dimensional space,important point,new knowledge,conventional method,new approach,visual relationship,associated keyword space,data mining,computer languages,multidimensional systems,internet,web pages,three dimensional,natural languages | Verb,Web page,Computer science,Synonym,Natural language,Content based retrieval,Artificial intelligence,Natural language processing,WordNet,Linguistics,Polysemy | Conference |
ISBN | Citations | PageRank |
0-7695-2687-X | 2 | 0.47 |
References | Authors | |
2 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yuichi Yaguchi | 1 | 40 | 16.52 |
Hiroshi Ohnishi | 2 | 2 | 0.81 |
Kenta Yamaki | 3 | 2 | 0.47 |
Keitaro Naruse | 4 | 47 | 19.98 |
Ryuichi Oka | 5 | 618 | 86.50 |
Steven D. Tripp | 6 | 2 | 0.81 |