Concordance

Query H91-1077 44 >
Shuffle 44 (1,408.7 per million)

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,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,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,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.
other,54-4-H91-1077,ak	for these derived strings ; and that <term>	sense	</term> will be chosen that corresponds to	#22081 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 thatsense will be chosen that corresponds to the derived string that is found most often in the corpus.
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,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 inmeaning 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,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,6-5-H91-1077,ak	<term> corpus </term> . Or , ( 2 ) the <term>	context	</term> of the <term> polysemous word </term>	#22106 Or, (2) thecontext 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,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,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,70-5-H91-1077,ak	closest in <term> meaning </term> to other <term>	words	</term> occurring in the same <term> context	#22170 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 otherwords occurring in the same context.
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,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.
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.
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.
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,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.
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,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.


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