| E09-2002 | presented here a new approach for | multidocument summarization | . It uses an unsupervised clustering |
| D13-1098 | ( 2002 ) propose a system for | multidocument summarization | from newswire articles describing |
| E12-1023 | scoring functions for extractive | multidocument summarization | . By taking a structured prediction |
| D15-1012 | , which is time-consuming for | multidocument summarization | tasks . Almeida and Martins ( |
| D14-1077 | reported the first steps for a | multidocument summarization | system for Turkish . A manually |
| E09-1089 | single-document summarization and | multidocument summarization | . While single-document summarization |
| E06-1039 | , an open-source framework for | multidocument summarization | , to suit our purposes . We refer |
| D12-1024 | dataset of DUC2004 task2 . This is a | multidocument summarization | task that contains 50 document |
| D13-1069 | Bayesian nonparametric model for | multidocument summarization | in order to automatically determine |
| H05-1005 | maries . We consider the case of | multidocument summarization | , where the input documents are |
| D11-1124 | implement the following widely used | multidocument summarization | algorithms as the baseline systems |
| E06-1039 | contrast , most previous work on | multidocument summarization | has focused on factual text ( |
| D08-1079 | related work includes topic-focused | multidocument summarization | ( Daumé . and Marcu , 2006 |
| C04-1057 | sets used in the evaluation of | multidocument summarization | during the Document Understanding |
| E06-1039 | centroid is a common feature in | multidocument summarization | ( cf. ( Radev et al. , 2003 ) |
| H01-1054 | those of the sponsor . <title> | Multidocument Summarization | via Information Extraction </title> |
| I05-2004 | considered in our experiments , the | multidocument summarization | experiments were conducted only |
| E06-1039 | baseline standard approach to | multidocument summarization | . Trends that we identified in |
| C04-1129 | sentence-clustering approach to | multidocument summarization | ( similar to multigen ( Barzilay |
| D08-1079 | Hovy , 2002 ) is a project on | multidocument summarization | at ISI based on the single-document |
