A Domain-Independent Multi-modifier Entity Search Method

Huan Liao, Yukun Li, Gang Hao, Dexin Zhao, Yongxuan Lai, Weiwei Wang
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Abstract

Entity search is a new search pattern that return related entities to users rather than amounts of web pages containing mass and messy information. It is also a challenging research topic because it is difficult to understand the meaning of users' input and identify the entities from the messy web pages. In this paper, we propose an entity search pattern based on online encyclopedias and define it as MMK search(Multi-modifier Search), which means the input text by people only includes one kernel concept and multiple modifiers. We propose a solution framework to solve this kind of search, and propose a method to identify expected entities based on well-utilized online encyclopedias. To evaluate the methods, we create an experimental data set and a baseline under the help of participants, the results verified the effectiveness of our methods.
一种领域无关的多修饰符实体搜索方法
实体搜索是一种新的搜索模式,它向用户返回相关的实体,而不是包含大量杂乱信息的大量网页。这也是一个具有挑战性的研究课题,因为很难理解用户输入的含义,并从杂乱的网页中识别实体。本文提出了一种基于在线百科全书的实体搜索模式,并将其定义为MMK搜索(Multi-modifier search),即人们输入的文本只包含一个核心概念和多个修饰语。我们提出了一个解决这类搜索的解决方案框架,并提出了一种基于使用良好的在线百科全书识别期望实体的方法。为了评估这些方法,我们在参与者的帮助下创建了一个实验数据集和一个基线,结果验证了我们方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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