Computational Surprise, Perceptual Surprise, and Personal Background in Text Understanding

Computational Surprise, Perceptual Surprise, and Personal Background in Text Understanding
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文本理解中的计算惊喜、感知惊喜和个人背景

DOI:
10.1145/3295750.3298963
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发表时间:
2019
期刊:
Proceedings of 2019 ACM SIGIR International Conference on the Theory of Information Retrieval
影响因子:
--
通讯作者:
Abbas, Fakhri
Abbas, Fakhri
中科院分区:
--
文献类型:
--
作者:
Niu, Xi;Abbas, Fakhri

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惊奇概念在信息检索中具有吸引用户注意力和激发好奇心的特殊意义。本文介绍了两种计算文本中惊讶度的度量方法,并通过不同背景知识专长的用户感知到的惊讶度进行了验证。我们利用众包方法和基于实验室的用户研究来接触大量用户。这一结论可以用来提出或改进未来的计算方法,以更好地预测人类在阅读文本时所引发的惊讶感。
The concept of surprise has special significance in information retrieval in attracting user attention and arousing curiosity. In this paper, we introduced two computational measures of calculating the amount of surprise contained in a piece of text, and validated with the perceived surprise by users with different background knowledge expertise. We utilized a crowdsourcing approach and a lab-based user study to reach a large amount of users. The implication could be used to propose or refine future computational approaches to better predict human feeling of surprise triggered by reading a body of text.
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发表时间: 2005
期刊: 2005 portuguese conference on artificial intelligence
影响因子: --
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发表时间: 2017
期刊: Neuropsychologia
影响因子: 2.6
作者:
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