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Ryuichi Takanobu(高信龙一)
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高信龙一在实验室中主要负责的领域是对话系统、搜索引擎和强化学习。人机交互的过程中,预言交互是一种重要的交互方式。这种交互方式会让用户产生自己是在跟真人进行交流的错觉,不过想要达到该程度,需要对话系统更加可靠。
除了对话系统,高信龙一在其他领域依然有所建树。曾在 WWW 2019 上发表了论文Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning。这是一篇对电商搜索结果进行聚合的算法研究,利用子任务排序的方法先呈现所有源的聚合,再从用户的反馈中进行学习,从而提高搜索性能。
除了对话系统,高信龙一在其他领域依然有所建树。曾在 WWW 2019 上发表了论文Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning。这是一篇对电商搜索结果进行聚合的算法研究,利用子任务排序的方法先呈现所有源的聚合,再从用户的反馈中进行学习,从而提高搜索性能。
Papers16 papers
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SIGdial, pp.297-310, (2020)
Jiexi Liu,Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Weiran Nie, Hongyan Li,Cheng Li, Wei Peng,Minlie Huang
Jinchao Li,Baolin Peng, Sungjin Lee, Jianfeng Gao,Ryuichi Takanobu, Qi Zhu,Minlie Huang, Hannes Schulz, Adam Atkinson, Mahmoud Adada
Proceedings of the 34th AAAI Conference on Artificial Intelligence, Eighth Dialog System Technology ..., (2020)
Zhu Qi, Zhang Zheng, Fang Yan, Li Xiang,Takanobu Ryuichi,Li Jinchao,Peng Baolin,Gao Jianfeng,Zhu Xiaoyan,Huang Minlie
ACL, pp.142-149, (2020)
Science China-technological Sciences, no. 10 (2020): 2011-2027
ACL, pp.625-638, (2020)
IEEE Transactions on Knowledge and Data Engineering, pp.1-1, (2020)
EMNLP/IJCNLP (1), pp.100-110, (2019)
Cited by22EIBibtex
Sungjin Lee,Qi Zhu,Ryuichi Takanobu, Xiang Li, Yaoqin Zhang,Zheng Zhang,Jinchao Li,Baolin Peng,Xiujun Li,Minlie Huang,Jianfeng Gao
Meeting of the Association for Computational Linguistics, (2019)
WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, (2019): 1771-1781
national conference on artificial intelligence, (2019)
IJCAI, pp.4403-4410, (2018)
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