Concordance

Query I05-5009 19 (608.3 per million)

tech,4-1-I05-5009,ak	This paper presents an <term> evaluation method </term> employing a <term> latent variable model </term> for <term> paraphrases </term> with their <term> contexts </term> .	#7689 This paper presents anevaluation method employing a latent variable model for paraphrases with their contexts.
model,8-1-I05-5009,ak	This paper presents an <term> evaluation method </term> employing a <term> latent variable model </term> for <term> paraphrases </term> with their <term> contexts </term> .	#7693 This paper presents an evaluation method employing alatent variable model for paraphrases with their contexts.
other,12-1-I05-5009,ak	This paper presents an <term> evaluation method </term> employing a <term> latent variable model </term> for <term> paraphrases </term> with their <term> contexts </term> .	#7697 This paper presents an evaluation method employing a latent variable model forparaphrases with their contexts.
other,15-1-I05-5009,ak	This paper presents an <term> evaluation method </term> employing a <term> latent variable model </term> for <term> paraphrases </term> with their <term> contexts </term> .	#7700 This paper presents an evaluation method employing a latent variable model for paraphrases with theircontexts.
other,4-2-I05-5009,ak	We assume that the <term> context </term> of a <term> sentence </term> is indicated by a <term> latent variable </term> of the <term> model </term> as a <term> topic </term> and that the <term> likelihood </term> of each <term> variable </term> can be inferred .	#7706 We assume that thecontext of a sentence is indicated by a latent variable of the model as a topic and that the likelihood of each variable can be inferred.
other,7-2-I05-5009,ak	We assume that the <term> context </term> of a <term> sentence </term> is indicated by a <term> latent variable </term> of the <term> model </term> as a <term> topic </term> and that the <term> likelihood </term> of each <term> variable </term> can be inferred .	#7709 We assume that the context of asentence is indicated by a latent variable of the model as a topic and that the likelihood of each variable can be inferred.
other,12-2-I05-5009,ak	We assume that the <term> context </term> of a <term> sentence </term> is indicated by a <term> latent variable </term> of the <term> model </term> as a <term> topic </term> and that the <term> likelihood </term> of each <term> variable </term> can be inferred .	#7714 We assume that the context of a sentence is indicated by alatent variable of the model as a topic and that the likelihood of each variable can be inferred.
model,16-2-I05-5009,ak	We assume that the <term> context </term> of a <term> sentence </term> is indicated by a <term> latent variable </term> of the <term> model </term> as a <term> topic </term> and that the <term> likelihood </term> of each <term> variable </term> can be inferred .	#7718 We assume that the context of a sentence is indicated by a latent variable of themodel as a topic and that the likelihood of each variable can be inferred.
other,19-2-I05-5009,ak	We assume that the <term> context </term> of a <term> sentence </term> is indicated by a <term> latent variable </term> of the <term> model </term> as a <term> topic </term> and that the <term> likelihood </term> of each <term> variable </term> can be inferred .	#7721 We assume that the context of a sentence is indicated by a latent variable of the model as atopic and that the likelihood of each variable can be inferred.
measure(ment),23-2-I05-5009,ak	We assume that the <term> context </term> of a <term> sentence </term> is indicated by a <term> latent variable </term> of the <term> model </term> as a <term> topic </term> and that the <term> likelihood </term> of each <term> variable </term> can be inferred .	#7725 We assume that the context of a sentence is indicated by a latent variable of the model as a topic and that thelikelihood of each variable can be inferred.
other,26-2-I05-5009,ak	We assume that the <term> context </term> of a <term> sentence </term> is indicated by a <term> latent variable </term> of the <term> model </term> as a <term> topic </term> and that the <term> likelihood </term> of each <term> variable </term> can be inferred .	#7728 We assume that the context of a sentence is indicated by a latent variable of the model as a topic and that the likelihood of eachvariable can be inferred.
other,1-3-I05-5009,ak	A <term> paraphrase </term> is evaluated for whether its <term> sentences </term> are used in the same <term> context </term> .	#7734 Aparaphrase is evaluated for whether its sentences are used in the same context.
other,7-3-I05-5009,ak	A <term> paraphrase </term> is evaluated for whether its <term> sentences </term> are used in the same <term> context </term> .	#7740 A paraphrase is evaluated for whether itssentences are used in the same context.
other,13-3-I05-5009,ak	A <term> paraphrase </term> is evaluated for whether its <term> sentences </term> are used in the same <term> context </term> .	#7746 A paraphrase is evaluated for whether its sentences are used in the samecontext.
measure(ment),11-4-I05-5009,ak	Experimental results showed that the proposed method achieves almost 60 % <term> accuracy </term> and that there is not a large performance difference between the two <term> models </term> .	#7759 Experimental results showed that the proposed method achieves almost 60%accuracy and that there is not a large performance difference between the two models.
model,24-4-I05-5009,ak	Experimental results showed that the proposed method achieves almost 60 % <term> accuracy </term> and that there is not a large performance difference between the two <term> models </term> .	#7772 Experimental results showed that the proposed method achieves almost 60% accuracy and that there is not a large performance difference between the twomodels.
measure(ment),5-5-I05-5009,ak	The results also revealed an <term> upper bound </term> of <term> accuracy </term> of 77 % with the method when using only <term> topic information </term> .	#7779 The results also revealed anupper bound of accuracy of 77% with the method when using only topic information.
measure(ment),8-5-I05-5009,ak	The results also revealed an <term> upper bound </term> of <term> accuracy </term> of 77 % with the method when using only <term> topic information </term> .	#7782 The results also revealed an upper bound ofaccuracy of 77% with the method when using only topic information.
other,18-5-I05-5009,ak	The results also revealed an <term> upper bound </term> of <term> accuracy </term> of 77 % with the method when using only <term> topic information </term> .	#7792 The results also revealed an upper bound of accuracy of 77% with the method when using onlytopic information.


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