A Large-Scale Japanese Dataset for Aspect-based Sentiment Analysis

Yuki Nakayama, Koji Murakami, Gautam Kumar, Sudha Bhingardive, Ikuko Hardaway. A Large-Scale Japanese Dataset for Aspect-based Sentiment Analysis. In Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis, editors, Proceedings of the Thirteenth Language Resources and Evaluation Conference, LREC 2022, Marseille, France, 20-25 June 2022. pages 7014-7021, European Language Resources Association, 2022. [doi]

@inproceedings{NakayamaMKBH22,
  title = {A Large-Scale Japanese Dataset for Aspect-based Sentiment Analysis},
  author = {Yuki Nakayama and Koji Murakami and Gautam Kumar and Sudha Bhingardive and Ikuko Hardaway},
  year = {2022},
  url = {https://aclanthology.org/2022.lrec-1.758},
  researchr = {https://researchr.org/publication/NakayamaMKBH22},
  cites = {0},
  citedby = {0},
  pages = {7014-7021},
  booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference, LREC 2022, Marseille, France, 20-25 June 2022},
  editor = {Nicoletta Calzolari and Frédéric Béchet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association},
}