论文标题
IQA：语义问题回答系统中的交互式查询构造
IQA: Interactive Query Construction in Semantic Question Answering Systems
论文作者
论文摘要
语义问题回答（SQA）系统自动解释用语义查询以自然语言表达的用户问题。此过程涉及不确定性，因此所产生的查询并不总是与用户意图相匹配，尤其是对于更复杂且较不常见的问题。在本文中，我们旨在使用户通过互动来指导SQA系统朝着预期的语义查询。我们介绍了IQA- SQA管道的交互方案。该方案促进了在问答过程中用户反馈无缝集成，并依赖于期权增益 - 一种新颖的指标，可以实现高效且直观的用户交互。我们的评估表明，使用提出的方案，即使是少数用户交互也可以导致SQA系统性能的显着改善。
Semantic Question Answering (SQA) systems automatically interpret user questions expressed in a natural language in terms of semantic queries. This process involves uncertainty, such that the resulting queries do not always accurately match the user intent, especially for more complex and less common questions. In this article, we aim to empower users in guiding SQA systems towards the intended semantic queries through interaction. We introduce IQA - an interaction scheme for SQA pipelines. This scheme facilitates seamless integration of user feedback in the question answering process and relies on Option Gain - a novel metric that enables efficient and intuitive user interaction. Our evaluation shows that using the proposed scheme, even a small number of user interactions can lead to significant improvements in the performance of SQA systems.
