| 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,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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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,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,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. | |
| 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,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,24-5-H91-1077,ak | search a <term> large corpus </term> ; all <term> | words | </term> found to occur in that <term> context | #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,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. | |
| 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,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. | |
| 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,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,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,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. |
