| measure(ment),8-3-P95-1027,ak | </term> , the <term> accuracy </term> and <term> | applicability | </term> of each method is quantified , and | #27837 Using automatically collected data, the accuracy andapplicability of each method is quantified, and a statistical analysis of the significance of the results is performed. | |
| measure(ment),20-6-P95-1027,ak | individual methods , and compare their <term> | performance | </term> to the simple methods . The most | #27924 We also apply two generic statistical learning methods for combining the indications of the individual methods, and compare theirperformance to the simple methods. | |
| tech,3-7-P95-1027,ak | simple methods . The most sophisticated <term> | complex learning method | </term> offers a small , but statistically | #27933 The most sophisticatedcomplex learning method offers a small, but statistically significant, improvement over the original tests. | |
| measure(ment),14-7-P95-1027,ak | , but statistically significant , <term> | improvement | </term> over the original tests . <term> Large-scale | #27944 The most sophisticated complex learning method offers a small, but statistically significant,improvement over the original tests. | |
| tech,3-1-P95-1027,ak | contextual information </term> . We present a <term> | corpus-based study | </term> of methods that have been proposed | #27783 We present acorpus-based study of methods that have been proposed in the linguistics literature for selecting the semantically unmarked term out of a pair of antonymous adjectives. | |
| tech,17-3-P95-1027,ak | each method is quantified , and a <term> | statistical analysis | </term> of the <term> significance </term> of | #27846 Using automatically collected data, the accuracy and applicability of each method is quantified, and astatistical analysis of the significance of the results is performed. | |
| other,1-3-P95-1027,ak | positive term from the pair . Using <term> | automatically collected data | </term> , the <term> accuracy </term> and <term> | #27830 Usingautomatically collected data, the accuracy and applicability of each method is quantified, and a statistical analysis of the significance of the results is performed. | |
| other,26-1-P95-1027,ak | semantically unmarked term out of a pair of <term> | antonymous adjectives | </term> . Solutions to this problem are applicable | #27806 We present a corpus-based study of methods that have been proposed in the linguistics literature for selecting the semantically unmarked term out of a pair ofantonymous adjectives. | |
| measure(ment),21-3-P95-1027,ak | <term> statistical analysis </term> of the <term> | significance | </term> of the results is performed . We | #27850 Using automatically collected data, the accuracy and applicability of each method is quantified, and a statistical analysis of thesignificance of the results is performed. | |
| tech,4-6-P95-1027,ak | dominates all others . We also apply two <term> | generic statistical learning methods | </term> for combining the indications of | #27908 We also apply twogeneric statistical learning methods for combining the indications of the individual methods, and compare their performance to the simple methods. | |
| measure(ment),6-3-P95-1027,ak | automatically collected data </term> , the <term> | accuracy | </term> and <term> applicability </term> of each | #27835 Using automatically collected data, theaccuracy and applicability of each method is quantified, and a statistical analysis of the significance of the results is performed. | |
| other,29-4-P95-1027,ak | better than would be attributable to <term> | chance | </term> . In addition , one of the simplest | #27886 We show that some simple methods are indeed good indicators for the answer to the problem while other proposed methods fail to perform better than would be attributable tochance. | |
| measure(ment),9-5-P95-1027,ak | addition , one of the simplest methods , <term> | text frequency | </term> , dominates all others . We also | #27897 In addition, one of the simplest methods,text frequency, dominates all others. |
