| 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,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. | |
| 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,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,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,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. | |
| 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. | |
| 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,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,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,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,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,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. | |
| 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,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,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,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,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,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,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. |
