| other,9-1-C04-1036,bq | goal and evaluation criterion for <term> | word similarity measures | </term> . The new criterion - <term> meaning-entailing | #5286 We suggest a new goal and evaluation criterion forword similarity measures. |
| measure(ment),4-2-C04-1036,bq | measures </term> . The new criterion - <term> | meaning-entailing substitutability | </term> - fits the needs of <term> semantic-oriented | #5294 The new criterion -meaning-entailing substitutability - fits the needs of semantic-oriented NLP applications and can be evaluated directly (independent of an application) at a good level of human agreement. |
| tech,11-2-C04-1036,bq | substitutability </term> - fits the needs of <term> | semantic-oriented NLP applications | </term> and can be evaluated directly ( independent | #5301 The new criterion - meaning-entailing substitutability - fits the needs ofsemantic-oriented NLP applications and can be evaluated directly (independent of an application) at a good level of human agreement. |
| other,23-2-C04-1036,bq | evaluated directly ( independent of an <term> | application | </term> ) at a good level of <term> human agreement | #5313 The new criterion - meaning-entailing substitutability - fits the needs of semantic-oriented NLP applications and can be evaluated directly (independent of anapplication) at a good level of human agreement. |
| other,30-2-C04-1036,bq | application </term> ) at a good level of <term> | human agreement | </term> . Motivated by this semantic criterion | #5320 The new criterion - meaning-entailing substitutability - fits the needs of semantic-oriented NLP applications and can be evaluated directly (independent of an application) at a good level ofhuman agreement. |
| 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 | #5334 Motivated by this semantic criterion we analyze the empirical quality ofdistributional word feature vectors and its impact on word similarity results, proposing an objective measure for evaluating feature vector quality. |
| other,19-3-C04-1036,bq | feature vectors </term> and its impact on <term> | word similarity | </term> results , proposing an objective <term> | #5342 Motivated by this semantic criterion we analyze the empirical quality of distributional word feature vectors and its impact onword similarity results, proposing an objective measure for evaluating feature vector quality. |
| other,29-3-C04-1036,bq | <term> measure </term> for evaluating <term> | feature vector | </term> quality . Finally , a novel <term> | #5352 Motivated by this semantic criterion we analyze the empirical quality of distributional word feature vectors and its impact on word similarity results, proposing an objective measure for evaluatingfeature vector quality. |
| tech,4-4-C04-1036,bq | </term> quality . Finally , a novel <term> | feature weighting and selection function | </term> is presented , which yields superior | #5360 Finally, a novelfeature weighting and selection function is presented, which yields superior feature vectors and better word similarity performance. |
| other,15-4-C04-1036,bq | presented , which yields superior <term> | feature vectors | </term> and better <term> word similarity </term> | #5371 Finally, a novel feature weighting and selection function is presented, which yields superiorfeature vectors and better word similarity performance. |
| other,19-4-C04-1036,bq | <term> feature vectors </term> and better <term> | word similarity | </term> performance . The work presented | #5375 Finally, a novel feature weighting and selection function is presented, which yields superior feature vectors and betterword similarity performance. |
