| other,22-1-H91-1077,ak | incorporates <term> semantic relations </term> ( <term> | synonymy | </term> , <term> antonymy </term> , <term> hyponymy | #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,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. | |
| tech,12-6-H91-1077,ak | practical applications to problems of <term> | information retrieval | </term> , <term> mechanical translation </term> | #22189 If successful, this procedure could have practical applications to problems ofinformation retrieval, mechanical translation, intelligent tutoring systems, and elsewhere. | |
| other,33-4-H91-1077,ak | <term> related words </term> into the <term> | context | </term> of the <term> polysemous word </term> | #22060 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 thecontext 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 | 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,75-5-H91-1077,ak | <term> words </term> occurring in the same <term> | context | </term> . If successful , this procedure | #22175 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 samecontext. | |
| other,30-5-H91-1077,ak | words </term> found to occur in that <term> | context | </term> will be noted ; <term> WordNet </term> | #22130 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 thatcontext 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. | |
| tool,1-2-H91-1077,ak | between <term> word senses </term> . With <term> | WordNet | </term> , it is easy to retrieve sets of <term> | #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. | |
| 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,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. | |
| 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,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,43-5-H91-1077,ak | </term> will then be used to estimate the <term> | semantic distance | </term> from those <term> words </term> to the | #22143 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 thesemantic 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,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,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. | |
| tool,11-1-H91-1077,ak | </term> is proposed that is based on <term> | WordNet | </term> , an on-line <term> lexical database | #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. | |
| 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,59-5-H91-1077,ak | <term> polysemous word </term> ; and that <term> | sense | </term> will be chosen that is closest in | #22159 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 thatsense will be chosen that is closest in meaning to other words occurring in the same context. | |
| 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. | |
| tool,35-5-H91-1077,ak | <term> context </term> will be noted ; <term> | WordNet | </term> will then be used to estimate the | #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. |
