Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach
Luís Marujo, Ricardo Ribeiro, David Martins de Matos, João P. Neto, Anatole Gershman, Jaime Carbonell
arXiv:1507.02907v119 citations
Originality Incremental advance
AI Analysis
This work addresses the need for efficient summarization of large online content collections, but it is incremental as it builds on existing single-document techniques.
The authors tackled the problem of multi-document summarization by extending single-document methods using a hierarchical approach, achieving state-of-the-art results.
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.