Concordance

Query H92-1045 21 (979.1 per million)

other,6-1-H92-1045,bq	</term> . It is well-known that there are <term>	polysemous words	</term> like <term> sentence </term> whose <term>	#19159 It is well-known that there arepolysemous words like sentence whose meaning or sense depends on the context of use.
other,9-1-H92-1045,bq	are <term> polysemous words </term> like <term>	sentence	</term> whose <term> meaning </term> or <term>	#19162 It is well-known that there are polysemous words likesentence whose meaning or sense depends on the context of use.
other,11-1-H92-1045,bq	</term> like <term> sentence </term> whose <term>	meaning	</term> or <term> sense </term> depends on the	#19164 It is well-known that there are polysemous words like sentence whosemeaning or sense depends on the context of use.
other,13-1-H92-1045,bq	</term> whose <term> meaning </term> or <term>	sense	</term> depends on the context of use . We	#19166 It is well-known that there are polysemous words like sentence whose meaning orsense depends on the context of use.
tech,7-2-H92-1045,bq	have recently reported on two new <term>	word-sense disambiguation systems	</term> , one trained on <term> bilingual material	#19181 We have recently reported on two newword-sense disambiguation systems, one trained on bilingual material (the Canadian Hansards) and the other trained on monolingual material (Roget's Thesaurus and Grolier's Encyclopedia).
lr,14-2-H92-1045,bq	disambiguation systems </term> , one trained on <term>	bilingual material	</term> ( the <term> Canadian Hansards </term>	#19188 We have recently reported on two new word-sense disambiguation systems, one trained onbilingual material (the Canadian Hansards) and the other trained on monolingual material (Roget's Thesaurus and Grolier's Encyclopedia).
lr-prod,18-2-H92-1045,bq	<term> bilingual material </term> ( the <term>	Canadian Hansards	</term> ) and the other trained on <term> monolingual	#19192 We have recently reported on two new word-sense disambiguation systems, one trained on bilingual material (theCanadian Hansards) and the other trained on monolingual material (Roget's Thesaurus and Grolier's Encyclopedia).
lr,26-2-H92-1045,bq	Hansards </term> ) and the other trained on <term>	monolingual material	</term> ( <term> Roget 's Thesaurus </term> and	#19200 We have recently reported on two new word-sense disambiguation systems, one trained on bilingual material (the Canadian Hansards) and the other trained onmonolingual material (Roget's Thesaurus and Grolier's Encyclopedia).
lr-prod,29-2-H92-1045,bq	<term> monolingual material </term> ( <term>	Roget 's Thesaurus	</term> and <term> Grolier 's Encyclopedia </term>	#19203 We have recently reported on two new word-sense disambiguation systems, one trained on bilingual material (the Canadian Hansards) and the other trained on monolingual material (Roget 's Thesaurus and Grolier's Encyclopedia).
lr-prod,33-2-H92-1045,bq	<term> Roget 's Thesaurus </term> and <term>	Grolier 's Encyclopedia	</term> ) . As this work was nearing completion	#19207 We have recently reported on two new word-sense disambiguation systems, one trained on bilingual material (the Canadian Hansards) and the other trained on monolingual material (Roget's Thesaurus andGrolier 's Encyclopedia).
other,12-3-H92-1045,bq	completion , we observed a very strong <term>	discourse	</term> effect . That is , if a <term> polysemous	#19224 As this work was nearing completion, we observed a very strongdiscourse effect.
other,5-4-H92-1045,bq	discourse </term> effect . That is , if a <term>	polysemous word	</term> such as <term> sentence </term> appears	#19232 That is, if apolysemous word such as sentence appears two or more times in a well-written discourse, it is extremely likely that they will all share the same sense.
other,9-4-H92-1045,bq	<term> polysemous word </term> such as <term>	sentence	</term> appears two or more times in a <term>	#19236 That is, if a polysemous word such assentence appears two or more times in a well-written discourse, it is extremely likely that they will all share the same sense.
other,17-4-H92-1045,bq	</term> appears two or more times in a <term>	well-written discourse	</term> , it is extremely likely that they	#19244 That is, if a polysemous word such as sentence appears two or more times in awell-written discourse, it is extremely likely that they will all share the same sense.
other,31-4-H92-1045,bq	that they will all share the same <term>	sense	</term> . This paper describes an experiment	#19258 That is, if a polysemous word such as sentence appears two or more times in a well-written discourse, it is extremely likely that they will all share the samesense.
other,16-5-H92-1045,bq	and found that the tendency to share <term>	sense	</term> in the same <term> discourse </term>	#19276 This paper describes an experiment which confirmed this hypothesis and found that the tendency to sharesense in the same discourse is extremely strong (98%).
other,20-5-H92-1045,bq	share <term> sense </term> in the same <term>	discourse	</term> is extremely strong ( 98 % ) . This	#19280 This paper describes an experiment which confirmed this hypothesis and found that the tendency to share sense in the samediscourse is extremely strong (98%).
other,10-6-H92-1045,bq	be used as an additional source of <term>	constraint	</term> for improving the performance of	#19299 This result can be used as an additional source ofconstraint for improving the performance of the word-sense disambiguation algorithm.
tech,17-6-H92-1045,bq	for improving the performance of the <term>	word-sense disambiguation algorithm	</term> . In addition , it could also be	#19306 This result can be used as an additional source of constraint for improving the performance of theword-sense disambiguation algorithm.
tech,11-7-H92-1045,bq	could also be used to help evaluate <term>	disambiguation algorithms	</term> that did not make use of the <term>	#19321 In addition, it could also be used to help evaluatedisambiguation algorithms that did not make use of the discourse constraint.


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