| tech,3-1-H91-1077,ak | A method of <term> sense resolution </term> is proposed that is based on <term> WordNet </term> , an on-line <term> lexical database </term> that incorporates <term> semantic relations </term> ( <term> synonymy </term> , <term> antonymy </term> , <term> hyponymy </term> , <term> meronymy </term> , <term> causal and troponymic entailment </term> ) as labeled pointers between <term> word senses </term> . | #21941 A method ofsense resolution is proposed that is based on WordNet, an on-line lexical database that incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses. | |
| tool,1-2-H91-1077,ak | With <term> WordNet </term> , it is easy to retrieve sets of <term> semantically related words </term> , a facility that will be used for <term> sense resolution </term> during <term> text processing </term> , as follows . | #21981 WithWordNet, it is easy to retrieve sets of semantically related words, a facility that will be used for sense resolution during text processing, as follows. | |
| tool,11-1-H91-1077,ak | A method of <term> sense resolution </term> is proposed that is based on <term> WordNet </term> , an on-line <term> lexical database </term> that incorporates <term> semantic relations </term> ( <term> synonymy </term> , <term> antonymy </term> , <term> hyponymy </term> , <term> meronymy </term> , <term> causal and troponymic entailment </term> ) as labeled pointers between <term> word senses </term> . | #21949 A method of sense resolution is proposed that is based onWordNet, an on-line lexical database that incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses. | |
| tool,35-5-H91-1077,ak | Or , ( 2 ) the <term> context </term> of the <term> polysemous word </term> will be used as a <term> key </term> to search a <term> large corpus </term> ; all <term> words </term> found to occur in that <term> context </term> will be noted ; <term> WordNet </term> will then be used to estimate the <term> semantic distance </term> from those <term> words </term> to the <term> alternative senses </term> of the <term> polysemous word </term> ; and that <term> sense </term> will be chosen that is closest in <term> meaning </term> to other <term> words </term> occurring in the same <term> context </term> . | #22135 Or, (2) the context of the polysemous word will be used as a key to search a large corpus; all words found to occur in that context will be noted;WordNet will then be used to estimate the semantic distance from those words to the alternative senses of the polysemous word; and that sense will be chosen that is closest in meaning to other words occurring in the same context. |
