Implementing clarification dialogues in open domain question answering

Author:

DE BONI MARCO,MANANDHAR SURESH

Abstract

We examine the implementation of clarification dialogues, a mechanism for ensuring that question answering systems take into account user goals by allowing them to ask series of related questions either by refining or expanding on previous questions with follow-up questions, in the context of open domain Question Answering systems. We develop an algorithm for clarification dialogue recognition through the analysis of collected data on clarification dialogues and examine the importance of clarification dialogue recognition for question answering. The algorithm is evaluated and shown to successfully recognize the start and continuation of clarification dialogues in 94% of cases. We then show the usefulness of the algorithm by demonstrating how the recognition of clarification dialogues can simplify the task of answer retrieval.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Explaining Recommendations through Conversations: Dialog Model and the Effects of Interface Type and Degree of Interactivity;ACM Transactions on Interactive Intelligent Systems;2023-04-12

2. Using clarification questions to improve software developers’ Web search;Information and Software Technology;2022-11

3. Conversational review-based explanations for recommender systems: Exploring users’ query behavior;CUI 2021 - 3rd Conference on Conversational User Interfaces;2021-07-27

4. Automatically Selecting Follow-up Questions for Deficient Bug Reports;2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR);2021-05

5. Analyzing and Learning from User Interactions for Search Clarification;Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval;2020-07-25

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