other,9-1-C04-1036,bq goal and evaluation criterion for <term> word similarity measures </term> . The new criterion - <term> meaning-entailing
measure(ment),4-2-C04-1036,bq measures </term> . The new criterion - <term> meaning-entailing substitutability </term> - fits the needs of <term> semantic-oriented
tech,11-2-C04-1036,bq substitutability </term> - fits the needs of <term> semantic-oriented NLP applications </term> and can be evaluated directly ( independent
other,23-2-C04-1036,bq evaluated directly ( independent of an <term> application </term> ) at a good level of <term> human agreement
other,30-2-C04-1036,bq application </term> ) at a good level of <term> human agreement </term> . Motivated by this semantic criterion
other,11-3-C04-1036,bq we analyze the empirical quality of <term> distributional word feature vectors </term> and its impact on <term> word similarity
other,19-3-C04-1036,bq feature vectors </term> and its impact on <term> word similarity </term> results , proposing an objective <term>
measure(ment),26-3-C04-1036,bq </term> results , proposing an objective <term> measure </term> for evaluating <term> feature vector
other,29-3-C04-1036,bq <term> measure </term> for evaluating <term> feature vector </term> quality . Finally , a novel <term>
tech,4-4-C04-1036,bq </term> quality . Finally , a novel <term> feature weighting and selection function </term> is presented , which yields superior
other,15-4-C04-1036,bq presented , which yields superior <term> feature vectors </term> and better <term> word similarity </term>
other,19-4-C04-1036,bq <term> feature vectors </term> and better <term> word similarity </term> performance . The work presented
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