事件搜索和分析:在搜索和分析的语义标注语料库中检测事件

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining Pub Date : 2016-02-08 DOI:10.1145/2835776.2855083

Dhruv Gupta

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引用次数: 6

摘要

在这篇文章中，我提出了我在博士研究中寻求答案的问题。我设想在语义注释的帮助下分析自然语言文本，并挖掘用于导航大型文本语料库的重要事件。语义注释(如命名实体、地理位置和时态表达式)可以帮助我们从给定的语料库中挖掘事件。因此，这些事件为我们提供了发现其中隐藏的知识的有用手段。我提出了三个问题，可以帮助在语义注释的文本语料库中打开这个知识库:1 .识别重要事件;2语义搜索;3事件分析。

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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Event Search and Analytics: Detecting Events in Semantically Annotated Corpora for Search & Analytics

In this article, I present the questions that I seek to answer in my PhD research. I posit to analyze natural language text with the help of semantic annotations and mine important events for navigating large text corpora. Semantic annotations such as named entities, geographic locations, and temporal expressions can help us mine events from the given corpora. These events thus provide us with useful means to discover the locked knowledge in them. I pose three problems that can help unlock this knowledge vault in semantically annotated text corpora: i. identifying important events; ii. semantic search; iii. and event analytics.

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Proceedings of the Ninth ACM International Conference on Web Search and Data Mining

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