C00-2121 cross-correlation method for the context similarity estimation ( either pattern-based or word-based
S12-1090 than lexical in order to improve similarity estimation . We assume that Run 1 is non-balance
C02-1008 translation that maximizes the similarity estimation . For more details about the
P06-1129 excellent corpus for distributional similarity estimation . This is because query logs
P15-2040 for parser training and language similarity estimation , and the test sections for evaluation
P10-1011 Fung ( 1998 ) discussed semantic similarity estimation using cross-lingual context vector
N12-3001 clicking on Estimate ! button . After similarity estimation , the result is displayed as
P93-1024 definition of verb similarity and a similarity estimation method . In Hindle 's proposal
C96-1083 measures based on cooccurrences and similarity estimation based on shared contexts must
P13-1061 sentence affinity . Although semantic similarity estimation is a straightforward approach
C02-1008 reliability in confidence . The similarity estimation function based on the probabilistic
C00-2121 pattern detection for context similarity estimation In the previously described method
C00-2121 between words should have to context similarity estimation . In this experiment we set :
C00-2121 single content word . The context similarity estimation algorithms were run using vocabularies
P09-2073 trieval , information extraction , similarity estimation and textual entailment . Tree
P10-1026 calculation . For the task of word similarity estimation using a large amount of Web data
P06-1070 are considered to improve the similarity estimation . 3 Exploiting Comparable Corpora
S12-1082 activity on the area of semantic similarity estimation motivated both by abundance of
C00-2121 this method ( Word-based Context Similarity Estimation - WCSE ) , are shown in Table
P11-1052 expanded documents either in sentence similarity estimation or in sentence clustering in
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