| other,26-1-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> . | #21964 A method of sense 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. | |
| other,28-1-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> . | #21966 A method of sense 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. | |
| other,30-1-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> . | #21968 A method of sense 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. | |
| tech,15-6-H91-1077,ak | If successful , this procedure could have practical applications to problems of <term> information retrieval </term> , <term> mechanical translation </term> , <term> intelligent tutoring systems </term> , and elsewhere . | #22192 If successful, this procedure could have practical applications to problems of information retrieval,mechanical translation, intelligent tutoring systems, and elsewhere. | |
| other,24-1-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> . | #21962 A method of sense 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. | |
| tech,18-6-H91-1077,ak | If successful , this procedure could have practical applications to problems of <term> information retrieval </term> , <term> mechanical translation </term> , <term> intelligent tutoring systems </term> , and elsewhere . | #22195 If successful, this procedure could have practical applications to problems of information retrieval, mechanical translation,intelligent tutoring systems, and elsewhere. | |
| 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. | |
| other,22-1-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> . | #21960 A method of sense 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. | |
| other,5-4-H91-1077,ak | Either , ( 1 ) <term> words </term> related in <term> meaning </term> to the <term> alternative senses </term> of the <term> polysemous word </term> will be retrieved ; new strings will be derived by substituting these <term> related words </term> into the <term> context </term> of the <term> polysemous word </term> ; a <term> large textual corpus </term> will then be searched for these derived strings ; and that <term> sense </term> will be chosen that corresponds to the derived string that is found most often in the <term> corpus </term> . | #22032 Either, (1)words related in meaning to the alternative senses of the polysemous word will be retrieved; new strings will be derived by substituting these related words into the context of the polysemous word; a large textual corpus will then be searched for these derived strings; and that sense will be chosen that corresponds to the derived string that is found most often in the corpus. | |
| lr,40-4-H91-1077,ak | Either , ( 1 ) <term> words </term> related in <term> meaning </term> to the <term> alternative senses </term> of the <term> polysemous word </term> will be retrieved ; new strings will be derived by substituting these <term> related words </term> into the <term> context </term> of the <term> polysemous word </term> ; a <term> large textual corpus </term> will then be searched for these derived strings ; and that <term> sense </term> will be chosen that corresponds to the derived string that is found most often in the <term> corpus </term> . | #22067 Either, (1) words related in meaning to the alternative senses of the polysemous word will be retrieved; new strings will be derived by substituting these related words into the context of the polysemous word; alarge textual corpus will then be searched for these derived strings; and that sense will be chosen that corresponds to the derived string that is found most often in the corpus. | |
| other,16-5-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> . | #22116 Or, (2) the context of the polysemous word will be used as akey 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. | |
| lr,20-5-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> . | #22120 Or, (2) the context of the polysemous word will be used as a key to search alarge 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. | |
| other,2-3-H91-1077,ak | When a <term> word </term> with multiple <term> senses </term> is encountered , one of two procedures will be followed . | #22012 When aword with multiple senses is encountered, one of two procedures will be followed. | |
| other,24-5-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> . | #22124 Or, (2) the context of the polysemous word will be used as a key to search a large corpus; allwords 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. | |
| other,39-1-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> . | #21977 A method of sense 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 betweenword senses. | |
| tech,24-2-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 . | #22004 With WordNet, it is easy to retrieve sets of semantically related words, a facility that will be used for sense resolution duringtext processing, as follows. | |
| tech,21-2-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 . | #22001 With WordNet, it is easy to retrieve sets of semantically related words, a facility that will be used forsense resolution during text processing, as follows. | |
| other,67-5-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> . | #22167 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 inmeaning to other words occurring in the same context. | |
| other,8-4-H91-1077,ak | Either , ( 1 ) <term> words </term> related in <term> meaning </term> to the <term> alternative senses </term> of the <term> polysemous word </term> will be retrieved ; new strings will be derived by substituting these <term> related words </term> into the <term> context </term> of the <term> polysemous word </term> ; a <term> large textual corpus </term> will then be searched for these derived strings ; and that <term> sense </term> will be chosen that corresponds to the derived string that is found most often in the <term> corpus </term> . | #22035 Either, (1) words related inmeaning to the alternative senses of the polysemous word will be retrieved; new strings will be derived by substituting these related words into the context of the polysemous word; a large textual corpus will then be searched for these derived strings; and that sense will be chosen that corresponds to the derived string that is found most often in the corpus. | |
| other,19-1-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> . | #21957 A method of sense resolution is proposed that is based on WordNet, an on-line lexical database that incorporatessemantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses. |
