| 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,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,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. | |
| 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,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,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,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,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,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,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,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,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,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. | |
| 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. | |
| 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,5-3-H91-1077,ak | When a <term> word </term> with multiple <term> | senses | </term> is encountered , one of two procedures | #22015 When a word with multiplesenses is encountered, one of two procedures will be followed. | |
| 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,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,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. | |
| 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. |
