Abstract | ||
---|---|---|
The increasing amount of online content motivated the development of multi-document summarization methods. In this work, we explore straightforward approaches to extend single-document summarization methods to multi-document summarization. The proposed methods are based on the hierarchical combination of single-document summaries, and achieves state of the art results. |
Year | DOI | Venue |
---|---|---|
2015 | 10.18653/v1/S15-1020 | *SEM@NAACL-HLT |
Field | DocType | Volume |
Data mining,Automatic summarization,Information retrieval,Computer science | Journal | abs/1507.02907 |
Citations | PageRank | References |
5 | 0.46 | 13 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luís Marujo | 1 | 224 | 14.86 |
Ricardo Ribeiro | 2 | 118 | 22.23 |
David Martins de Matos | 3 | 152 | 29.19 |
João Paulo Neto | 4 | 291 | 32.69 |
A. Gershman | 5 | 316 | 51.85 |
Jaime G. Carbonell | 6 | 5019 | 724.15 |