Papers with multi-granularity interaction network

1 papers
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization (2020.acl-main)

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Challenge: Existing methods for document summarization use extractive and abstractive representations, but they don't take into account hierarchical structure of document clusters.
Approach: They propose a multi-granularity interaction network for extractive and abstractive multi-document summarization which jointly learn semantic representations for words, sentences, and documents.
Outcome: The proposed model outperforms baseline methods and achieves the best results on the Multi-News dataset.

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