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

Gupta, D. (2016). Event Search and Analytics: Detecting Events in Semantically Annotated Corpora for Search and Analytics. doi:10.1145/2835776.2855083.

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arXiv:1603.00260.pdf (Preprint), 418KB
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arXiv:1603.00260.pdf
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File downloaded from arXiv at 2016-12-14 09:37 Extended research report of an extended abstract published at WSDM 2016 Doctoral Consortium. in WSDM 2016 Proceedings of the Ninth ACM International Conference on Web Search and Data Mining
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 Creators:
Gupta, Dhruv1, Author           
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1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Free keywords: Computer Science, Information Retrieval, cs.IR,Computer Science, Computation and Language, cs.CL
 Abstract: 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; and iii. event analytics.

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 Dates: 2016-03-012016
 Publication Status: Published online
 Pages: 5 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 1603.00260
DOI: 10.1145/2835776.2855083
URI: http://arxiv.org/abs/1603.00260
BibTex Citekey: Gupta1603.00260
 Degree: -

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