| other,28-1-H91-1077,ak | antonymy </term> , <term> hyponymy </term> , <term> | meronymy | </term> , <term> causal and troponymic entailment | #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,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. | |
| tech,15-6-H91-1077,ak | <term> information retrieval </term> , <term> | mechanical translation | </term> , <term> intelligent tutoring systems | #22192 If successful, this procedure could have practical applications to problems of information retrieval,mechanical translation, intelligent tutoring systems, and elsewhere. | |
| lr,20-5-H91-1077,ak | used as a <term> key </term> to search a <term> | large corpus | </term> ; all <term> words </term> found to occur | #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,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. | |
| 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. | |
| 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,24-1-H91-1077,ak | relations </term> ( <term> synonymy </term> , <term> | antonymy | </term> , <term> hyponymy </term> , <term> meronymy | #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. | |
| other,26-1-H91-1077,ak | synonymy </term> , <term> antonymy </term> , <term> | hyponymy | </term> , <term> meronymy </term> , <term> causal | #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. | |
| 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,5-4-H91-1077,ak | will be followed . Either , ( 1 ) <term> | words | </term> related in <term> meaning </term> to | #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. | |
| 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. | |
| other,54-5-H91-1077,ak | <term> alternative senses </term> of the <term> | polysemous word | </term> ; and that <term> sense </term> will | #22154 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 thepolysemous 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,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,39-1-H91-1077,ak | </term> ) as labeled pointers between <term> | word senses | </term> . With <term> WordNet </term> , it is | #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. | |
| other,50-5-H91-1077,ak | from those <term> words </term> to the <term> | alternative senses | </term> of the <term> polysemous word </term> | #22150 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 thealternative 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 | processing </term> , as follows . When a <term> | word | </term> with multiple <term> senses </term> is | #22012 When aword with multiple senses is encountered, one of two procedures will be followed. | |
| 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,29-4-H91-1077,ak | will be derived by substituting these <term> | related words | </term> into the <term> context </term> of the | #22056 Either, (1) words related in meaning to the alternative senses of the polysemous word will be retrieved; new strings will be derived by substituting theserelated 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. |
