Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
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DOI：
10.18653/v1/p19-1637
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发表时间：
2019-05
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影响因子：
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通讯作者：
Varun Kumar;Alison Smith-Renner;Leah Findlater;Kevin Seppi;Jordan L. Boyd-Graber
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作者：
Varun Kumar;Alison Smith-Renner;Leah Findlater;Kevin Seppi;Jordan L. Boyd-Graber
为了解决人在环主题建模 (HLTM) 系统缺乏比较评估的问题，我们使用仿真实验实施和评估三种对比的 HLTM 建模方法。这些方法扩展了先前提出的框架，包括约束和基于先验的方法。用户应该对HLTM系统有一种控制感，因此我们提出了一个控制指标来衡量细化操作的结果是否符合用户的期望。基于知情先验的方法提供了比约束更好的控制，但约束产生了更高质量的主题。
To address the lack of comparative evaluation of Human-in-the-Loop Topic Modeling (HLTM) systems, we implement and evaluate three contrasting HLTM modeling approaches using simulation experiments. These approaches extend previously proposed frameworks, including constraints and informed prior-based methods. Users should have a sense of control in HLTM systems, so we propose a control metric to measure whether refinement operations’ results match users’ expectations. Informed prior-based methods provide better control than constraints, but constraints yield higher quality topics.