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pro vyhledávání: '"Shinzato, Kenta"'
Autor:
Ide, Tatsuya, Murata, Eiki, Kawahara, Daisuke, Yamazaki, Takato, Li, Shengzhe, Shinzato, Kenta, Sato, Toshinori
Despite the remarkable progress in natural language understanding with pretrained Transformers, neural language models often do not handle commonsense knowledge well. Toward commonsense-aware models, there have been attempts to obtain knowledge, rang
Externí odkaz:
http://arxiv.org/abs/2310.07170
Autor:
Kasahara, Tomohito, Kawahara, Daisuke, Tung, Nguyen, Li, Shengzhe, Shinzato, Kenta, Sato, Toshinori
Dialogue systems without consistent responses are not fascinating. In this study, we build a dialogue system that can respond based on a given character setting (persona) to bring consistency. Considering the trend of the rapidly increasing scale of
Externí odkaz:
http://arxiv.org/abs/2206.05399
Publikováno v:
2013 Seventh International Conference on Sensing Technology (ICST); 2013, p275-278, 4p
