| tech,24-2-H91-1077,ak | <term> sense resolution </term> during <term> | text processing | </term> , as follows . When a <term> word </term> | #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. | |
| other,6-5-H91-1077,ak | <term> corpus </term> . Or , ( 2 ) the <term> | context | </term> of the <term> polysemous word </term> | #22106 Or, (2) thecontext 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,36-4-H91-1077,ak | into the <term> context </term> of the <term> | polysemous word | </term> ; a <term> large textual corpus </term> | #22063 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 thepolysemous 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,71-4-H91-1077,ak | string that is found most often in the <term> | corpus | </term> . Or , ( 2 ) the <term> context </term> | #22098 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 thecorpus. | |
| tech,3-1-H91-1077,ak | specific <term> corpora </term> . A method of <term> | sense resolution | </term> is proposed that is based on <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. | |
| other,47-5-H91-1077,ak | semantic distance </term> from those <term> | words | </term> to the <term> alternative senses </term> | #22147 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 thosewords 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,19-1-H91-1077,ak | lexical database </term> that incorporates <term> | semantic relations | </term> ( <term> synonymy </term> , <term> antonymy | #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. | |
| other,54-4-H91-1077,ak | for these derived strings ; and that <term> | sense | </term> will be chosen that corresponds to | #22081 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 thatsense will be chosen that corresponds to the derived string that is found most often in the corpus. | |
| other,11-4-H91-1077,ak | related in <term> meaning </term> to the <term> | alternative senses | </term> of the <term> polysemous word </term> | #22038 Either, (1) words related in meaning to thealternative 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,15-1-H91-1077,ak | on <term> WordNet </term> , an on-line <term> | lexical database | </term> that incorporates <term> semantic relations | #21953 A method of sense resolution is proposed that is based on WordNet, an on-linelexical database that incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses. | |
| other,16-5-H91-1077,ak | polysemous word </term> will be used as a <term> | key | </term> to search a <term> large corpus </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. | |
| other,15-4-H91-1077,ak | <term> alternative senses </term> of the <term> | polysemous word | </term> will be retrieved ; new strings will | #22042 Either, (1) words related in meaning to the alternative senses of thepolysemous 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. | |
| tech,21-2-H91-1077,ak | , a facility that will be used for <term> | sense resolution | </term> during <term> text processing </term> | #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. | |
| tech,18-6-H91-1077,ak | <term> mechanical translation </term> , <term> | intelligent tutoring systems | </term> , and elsewhere . A system is described | #22195 If successful, this procedure could have practical applications to problems of information retrieval, mechanical translation,intelligent tutoring systems, and elsewhere. | |
| other,10-2-H91-1077,ak | </term> , it is easy to retrieve sets of <term> | semantically related words | </term> , a facility that will be used for | #21990 With WordNet, it is easy to retrieve sets ofsemantically related words, a facility that will be used for sense resolution during text processing, as follows. | |
| lr,40-4-H91-1077,ak | the <term> polysemous word </term> ; a <term> | large textual corpus | </term> will then be searched for these derived | #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,70-5-H91-1077,ak | closest in <term> meaning </term> to other <term> | words | </term> occurring in the same <term> context | #22170 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 otherwords occurring in the same context. | |
| other,30-1-H91-1077,ak | hyponymy </term> , <term> meronymy </term> , <term> | causal and troponymic entailment | </term> ) as labeled pointers between <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. | |
| other,67-5-H91-1077,ak | </term> will be chosen that is closest in <term> | meaning | </term> to other <term> words </term> occurring | #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,9-5-H91-1077,ak | 2 ) the <term> context </term> of the <term> | polysemous word | </term> will be used as a <term> key </term> | #22109 Or, (2) the context of thepolysemous 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. |
