Tingxuan Li


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Developing and Evaluating a Dataset for How-to Tip Machine Reading at Scale
Fuzhu Zhu | Shuting Bai | Tingxuan Li | Takehito Utsuro
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation

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Investigating person-specific errors in chat-oriented dialogue systems
Koh Mitsuda | Ryuichiro Higashinaka | Tingxuan Li | Sen Yoshida
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Creating chatbots to behave like real people is important in terms of believability. Errors in general chatbots and chatbots that follow a rough persona have been studied, but those in chatbots that behave like real people have not been thoroughly investigated. We collected a large amount of user interactions of a generation-based chatbot trained from large-scale dialogue data of a specific character, i.e., target person, and analyzed errors related to that person. We found that person-specific errors can be divided into two types: errors in attributes and those in relations, each of which can be divided into two levels: self and other. The correspondence with an existing taxonomy of errors was also investigated, and person-specific errors that should be addressed in the future were clarified.


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Evaluating a How-to Tip Machine Comprehension Model with QA Examples collected from a Community QA Site
Tingxuan Li | Shuting Bai | Takehito Utsuro Fuzhu Zhu
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation