2015/07/10 by Luís Marujo, Marujo, Luís, Ricardo Ribeiro +9
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling #cs.CL #cs.IR
paper · pdf · doi:10.48550/arxiv.1507.02907
6 pages, Please cite: Proceedings of *SEM: the 4th Joint Conference on Lexical and Computational Semantics (bibtex: http://aclweb.org/anthology/S/S15/S15-1020.bib)
arxiv created 2015/07/10 · openalex publication_date 2015/07/10 · arxiv updated 2015/07/13 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
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.