Tingxuan Li
2022
Developing and Evaluating a Dataset for How-to Tip Machine Reading at Scale
Fuzhu Zhu
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Shuting Bai
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Tingxuan Li
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Takehito Utsuro
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
Investigating person-specific errors in chat-oriented dialogue systems
Koh Mitsuda
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Ryuichiro Higashinaka
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Tingxuan Li
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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.
2021
Evaluating a How-to Tip Machine Comprehension Model with QA Examples collected from a Community QA Site
Tingxuan Li
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Shuting Bai
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Takehito Utsuro Fuzhu Zhu
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
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Co-authors
- Shuting Bai 2
- Fuzhu Zhu 1
- Takehito Utsuro 1
- Koh Mitsuda 1
- Ryuichiro Higashinaka 1
- show all...