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A Generative Approach for Multi-Document Summarization using Semantic-Discursive information

Maria Lucía Castro JorgeThiago Alexandre Salgueiro Pardo

Multi-document summarization is the automatic production of a unique summary from a collection of texts. In this paper, we propose a statistical generative approach for multi-document summarization that combines simple information such as sentence position in the text and semantic-discursive information from CST (Cross-Document Structure Theory). In particular, we formulate the multi-document summarization task using a Noisy-Channel model.

http://www.lbd.dcc.ufmg.br/colecoes/stil/2011/0031.pdf

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