Organizing Information on the Web through Agreement-Conflict Relation Classification
Organizing Information on the Web through Agreement-Conflict Relation Classification
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DOI：
10.1007/978-3-642-35341-3_11
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发表时间：
2012-12
期刊：
影响因子：
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通讯作者：
Junta Mizuno;Eric Nichols;Yotaro Watanabe;Kentaro Inui
中科院分区：
文献类型：
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作者：
Junta Mizuno;Eric Nichols;Yotaro Watanabe;Kentaro Inui
Web上的大量信息使用户难以全面调查对感兴趣的主题的各种观点。为了帮助用户科普这种信息过载，我们开发了一个信息组织系统，该系统应用了最先进的技术，从识别文本蕴涵自动检测与自然语言查询相关的Web文本，并将其组织成同意和冲突的组。向用户呈现关于其查询的观点的鸟瞰视图可视化，这使得更容易获得对问题的更深入理解。在本文中，我们描述了我们的信息组织系统的实施和评估我们的系统通过实证分析的语义关系识别系统，分类文本，并通过大规模的可用性研究。实证评估和可用性研究都证明了我们的系统的实用性。用户反馈进一步表明，通过让我们的用户接触不同的观点，可以促进客观思考，并有助于减少确认偏差。
The vast amount of information on the Web makes it difficult for users to comprehensively survey the various viewpoints on topics of interest. To help users cope with this information overload, we have developed an Information Organization System that applies state-of-the-art technology from Recognizing Textual Entailment to automatically detect Web texts that are relevant to natural language queries and organize them into agreeing and conflicting groups. Users are presented with a bird’s-eye-view visualization of the viewpoints on their queries that makes it easier to gain a deeper understanding of an issue. In this paper, we describe the implementation of our Information Organization System and evaluate our system through empirical analysis of the semantic relation recognition system that classifies texts and through a large-scale usability study. The empirical evaluation and usability study both demonstrate the usefulness of our system. User feedback further shows that by exposing our users to differing viewpoints promotes objective thinking and helps to reduce confirmation bias.