| tech,3-1-H91-1077,ak | <term> corpora </term> . A method of <term> | sense resolution | </term> is proposed that is based on <term> | #21941 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 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. | |
| 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-line lexical database that incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses. | |
| other,19-1-H91-1077,ak | 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 incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses. | |
| 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,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,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,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 between word senses. | |
| tool,1-2-H91-1077,ak | between <term> word senses </term> . With <term> | WordNet | </term> , it is easy to retrieve sets of | #21981 With WordNet , 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,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 of semantically related words, a facility that will be used for sense resolution during text processing, as follows. | |
| tech,21-2-H91-1077,ak | a facility that will be used for <term> | sense resolution | </term> during <term> text processing </term> | #22001 With WordNet, it is easy to retrieve sets of semantically related words, a facility that will be used for sense resolution during text processing, as follows. | |
| 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 during text processing, as follows. | |
| other,2-3-H91-1077,ak | processing </term> , as follows . When a <term> | word | </term> with multiple <term> senses </term> | #22012 When a word with multiple senses is encountered, one of two procedures will be followed. | |
| 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 multiple senses is encountered, one of two procedures will be followed. | |
| 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,8-4-H91-1077,ak | ( 1 ) <term> words </term> related in <term> | meaning | </term> to the <term> alternative senses </term> | #22035 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,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 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,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 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. |
