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- W66707430 abstract "Interactive Restricted Domain Question Answering Systems combine the in- teractivity of dialogue systems with the information retrieval features of ques- tion answering systems. The main problem when going from task-oriented dia- logue systems to interactive restricted domain question answering systems is that the lack of task structure prohibits making simplifying assumptions as in task- oriented dialogue systems. In order to address this issue, we propose a solution that combines representations based on keywords extracted from the user utter- ances with machine learning to learn the dialogue management function. More specifically, we propose to use Support Vector Machines to classify the dialogue state containing the extracted keywords in order to determine the next action to be taken by the dialogue manager. Much of the content selection for clarification question usually found in dialogue managers is moved to an instance-based gen- eration component. The proposed method has the advantage that it does not rely on an explicit representation of task structure as is necessary for task-oriented dialogue systems." @default.
- W66707430 created "2016-06-24" @default.
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- W66707430 date "2005-01-01" @default.
- W66707430 modified "2023-09-23" @default.
- W66707430 title "DOES THIS ANSWER YOUR QUESTION? Towards Dialogue Management for Restricted Domain Question Answering Systems" @default.
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