论文标题
事件驱动的查询扩展
Event-Driven Query Expansion
论文作者
论文摘要
网络搜索中发出了大量与事件相关的查询。在本文中，我们试图通过利用事件并特别针对查询扩展的经典任务来提高检索性能。我们提出了一种通过首先检测到与之相关的事件来扩展事件相关查询的方法。然后，我们将候选者得出与查询和事件的语义相关的术语。为了确定候选人，我们利用一种新型机制在同一向量空间中同时嵌入单词和事件。我们表明，我们提出的利用事件的方法与各种新闻TREC数据集中的最新方法相比，可以显着提高查询性能。
A significant number of event-related queries are issued in Web search. In this paper, we seek to improve retrieval performance by leveraging events and specifically target the classic task of query expansion. We propose a method to expand an event-related query by first detecting the events related to it. Then, we derive the candidates for expansion as terms semantically related to both the query and the events. To identify the candidates, we utilize a novel mechanism to simultaneously embed words and events in the same vector space. We show that our proposed method of leveraging events improves query expansion performance significantly compared with state-of-the-art methods on various newswire TREC datasets.
