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User Requirements Analysis for Meeting Information Retrieval Based on Query Elicitation

机译:基于查询征询的会议信息检索用户需求分析

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We present a user requirements study for Question Answering on meeting records that assesses the difficulty of users questions in terms of what type of knowledge is required in order to provide the correct answer. We grounded our work on the empirical analysis of elicited user queries. We found that the majority of elicited queries (around 60%) pertain to argumentative processes and outcomes. Our analysis also suggests that standard keyword-based Information Retrieval can only deal successfully with less than 20% of the queries, and that it must be complemented with other types of metadata and inference.
机译:我们在会议记录上提出一个关于问答的用户需求研究,该评估根据需要哪种知识才能提供正确答案来评估用户提问的难度。我们的工作基于对引发的用户查询的实证分析。我们发现,大多数引发的查询(约60%)与争论的过程和结果有关。我们的分析还表明,基于关键字的标准信息检索只能成功处理少于20%的查询,并且必须与其他类型的元数据和推断相辅相成。

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