论文标题
会话浏览
Conversational Browsing
论文作者
论文摘要
我们如何更好地了解寻求对话的多转向信息背后的机制？我们如何使用这些见解来设计不需要明确查询配方的对话系统，例如回答？为了回答这些问题，我们收集了对执行类似任务的人类参与者的观察，以获得系统设计的灵感。然后，我们研究了在这些设置中发生的对话的结构，并使用了由此产生的见解来开发扎根的理论，设计和评估第一个系统原型。评估结果表明，我们的方法是有效的，可以补充基于查询的信息检索方法。我们通过分析和为寻求信息寻求策略提供自动支持来贡献有关寻求信息行为的新见解，这些策略在信息需求的清晰度和对收集内容的熟悉度较低时有效。
How can we better understand the mechanisms behind multi-turn information seeking dialogues? How can we use these insights to design a dialogue system that does not require explicit query formulation upfront as in question answering? To answer these questions, we collected observations of human participants performing a similar task to obtain inspiration for the system design. Then, we studied the structure of conversations that occurred in these settings and used the resulting insights to develop a grounded theory, design and evaluate a first system prototype. Evaluation results show that our approach is effective and can complement query-based information retrieval approaches. We contribute new insights about information-seeking behavior by analyzing and providing automated support for a type of information-seeking strategy that is effective when the clarity of the information need and familiarity with the collection content are low.
