Search Results for author: Kazuki Akiyama

Found 2 papers, 1 papers with code

Hie-BART: Document Summarization with Hierarchical BART

no code implementations NAACL 2021 Kazuki Akiyama, Akihiro Tamura, Takashi Ninomiya

This paper proposes a new abstractive document summarization model, hierarchical BART (Hie-BART), which captures hierarchical structures of a document (i. e., sentence-word structures) in the BART model.

Document Summarization Machine Translation +2

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