Exploring the subtopic-based relationship map strategy for multi-document summarization

Rafael Ribaldo, Paula Christina Figueira Cardoso, Thiago Alexandre Salgueiro Pardo

Abstract


In this paper we adapt and explore strategies for generating multi-document summaries based on relationship maps, which represent texts as graphs (maps) of interrelated segments and apply different traversing techniques for producing the summaries. In particular, we focus on the Segmented Bushy Path, a sophisticated method which tries to represent in a summary the main subtopics from source texts while keeping its informativeness. In addition, we also investigate some well-known subtopic segmentation and clustering techniques in order to correctly select the most relevant information to compose the final summary. We show that this subtopic-based method outperforms other methods for multi-document summarization and that achieves state of the art results, competing with the most sophisticated deep summarization methods in the area.

Full Text:

PDF


DOI: https://doi.org/10.22456/2175-2745.59104

Copyright (c) 2018 Rafael Ribaldo, Paula Christina Figueira Cardoso, Thiago Alexandre Salgueiro Pardo

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Indexing databases:
        

Acknowledgments: