J05-4002 we see potential for the use of distributional similarity methods in prepositional phrase attachment
J10-3003 attempting to move beyond a single-pass distributional similarity method . They propose a bootstrapping
C04-1146 on a potential application of distributional similarity methods . 6 Compositionality of collocations
J09-3004 applications . Comparative evaluations of distributional similarity methods for this type of application
C04-1146 this has on one application of distributional similarity methods ( judging the compositionality
D11-1027 discourse relation predictions and distributional similarity methods in a global inference procedure
J05-4002 could be used to evaluate CRMs and distributional similarity methods in general . In particular ,
D12-1018 tackle an infamous property of distributional similarity methods , namely , the difficulty in
J09-3004 semantic similarity obtained by distributional similarity methods is insufficient quality of the
J05-4002 al. ( 2004 ) investigate using distributional similarity methods to find predominant word senses
J09-3004 , those candidate pairs of the distributional similarity method for which entailment holds at
N10-3005 Evaluation Issues 4.1 Task Vector-based distributional similarity methods have proven to be a valuable
N09-2008 search engine . 2 Related work Distributional similarity methods model the similarity or relatedness
D11-1027 separate components and focused distributional similarity methods collected about event pairs as
N10-1010 standard ones than traditional distributional similarity methods . Despite that , our evaluation
D11-1027 supervised approach , based on focused distributional similarity methods and discourse connectives , for
N10-1010 taxonomic relations than traditional distributional similarity methods , which associate each target
N10-1013 simple modifications to standard distributional similarity methods such as those presented by Curran
E09-1064 and resources based on automatic distributional similarity methods ( Lin , 1998 ; Pantel and Lin
D13-1171 2008 ) . Brown clustering is a distributional similarity method that merges pairs of word clusters
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