1 code implementation • LREC 2022 • Haruya Suzuki, Yuto Miyauchi, Kazuki Akiyama, Tomoyuki Kajiwara, Takashi Ninomiya, Noriko Takemura, Yuta Nakashima, Hajime Nagahara
We annotate 35, 000 SNS posts with both the writer’s subjective sentiment polarity labels and the reader’s objective ones to construct a Japanese sentiment analysis dataset.
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.
Ranked #7 on Document Summarization on CNN / Daily Mail