| W14-2801 | than previously used neighborhood | density measures | . 2 Related Work : Neighborhood |
| J10-1002 | future work relates to our profile | density measure | . We suggest that not only is |
| J10-1002 | We demonstrate that our profile | density measure | can account for the performance |
| D08-1112 | in the previous sections . This | density measure | requires us to compute the similarity |
| D10-1105 | highest density to the overall | density measured | by lin . We can easily find the |
| P15-1074 | surprisal was used as the information | density measure | . Related hypotheses have been |
| W06-0205 | density : The basic idea of the word | density measure | is to evaluate the dispersion |
| W04-0909 | descendants . This conceptual | density measure | has inspired the measure used |
| J10-1002 | observation suggests that our profile | density measure | may be useful not only in indicating |
| W05-1007 | constraints ) . The conceptual | density measure | we have used has been inspired |
| W05-1007 | and Rigau 's ( 1995 ) conceptual | density measure | . This analysis identifies a |
| J10-1002 | critical to the usefulness of our | density measure | . Next , observe that , as predicted |
| W04-0909 | undertakes the interpretation of the | density measures | . Two thresholds are used to |
| W06-0205 | Salton et al. , 1975 ) and a new | density measure | ( Dias and Alves , 2005 ) . tf.idf |
| W11-0134 | at different points in time . | Density measures | were applied to a series of acknowledged |
| J10-1002 | We expect that , if our profile | density measure | does indeed reflect the coherence |
| W06-0205 | relevant as dense words . This | density measure | dens ( . , . ) is defined in |
| J10-1002 | Section 7 , we describe our profile | density measure | and use it to analyze the properties |
| J10-1002 | generate a profile . Our profile | density measure | may indeed be generally useful |
| J00-4003 | generally by means of lexical | density measures | ( Hearst 1997 ; Richmond , Smith |
