Corpus ID: 201637006

Compressive Multi-document Summarization with Sense-level Concepts ∗

@inproceedings{Shen2019CompressiveMS,
  title={Compressive Multi-document Summarization with Sense-level Concepts ∗},
  author={X. Shen and Wai Lam and Xunying Liu and Piji Li},
  year={2019}
}

X. Shen, Wai Lam, +1 author Piji Li

Published 2019

Most existing document summarization methods make use of information appeared in input documents only. They operate on the word level, and do not make use of the sense-level concepts which usually need external semantic knowledge. In this paper, we investigate a compressive MultiDocument Summarization (MDS) model which integrates the sense-level concepts of words and entities. With sense disambiguation of the text, we propose a novel way of salience estimation and redundancy reduction that… CONTINUE READING

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