University of Twente Student Theses


Follow-up Question Generation

Mandasari, Yani (2019) Follow-up Question Generation.

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Abstract:In this thesis, we address the challenge of automatically generating follow-up questions from the users' input for an open-domain dialogue agent. Specifically, we consider that follow-up questions associated with those that follow up on the topic mentioned in the previous turn. Questions are generated by utilizing the named entity, part of speech information, and the predicate-argument structures of the sentences. The generated questions were evaluated twice, and after that, a user study using an interactive one-turn dialogue was conducted. In the user study, the questions were ranked based on the average score from the question evaluation results. The user study results revealed that the follow-up questions were felt convincing and natural, especially when they were short and straightforward. However, there are still many rooms for improvements. The generated questions are very dependent to the correctness of the sentence structure and difficult to expand the conversation topics since the conversations are very related to the input from users.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Interaction Technology MSc (60030)
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