Difference between revisions of "Named Entity Network based on Wikipedia"
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| − | '''Named Entity Network based on Wikipedia''' - scientific work related to Wikipedia quality published in 2009, written by Sameer Maskey and Wisam Dakka. | + | '''Named Entity Network based on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Sameer Maskey]] and [[Wisam Dakka]]. |
== Overview == | == Overview == | ||
| − | Named Entities (NEs) play an important role in many natural language and speech processing tasks. A resource that identifies relations between NEs could potentially be very useful. Authors present such automatically generated knowledge resource from Wikipedia, Named Entity Network (NE-NET), that provides a list of related Named Entities (NEs) and the degree of relation for any given NE. Unlike some manually built knowledge resource, NE-NET has a wide coverage consisting of 1.5 million NEs represented as nodes of a graph with 6.5 million arcs relating them. NE-NET also provides the ranks of the related NEs using a simple ranking function that authors propose. In this paper, authors present NE-NET and experiments showing how NE-NET can be used to improve the retrieval of spoken (Broadcast News) and text documents. | + | Named Entities (NEs) play an important role in many natural language and speech processing tasks. A resource that identifies relations between NEs could potentially be very useful. Authors present such automatically generated knowledge resource from [[Wikipedia]], Named Entity Network (NE-NET), that provides a list of related Named Entities (NEs) and the degree of relation for any given NE. Unlike some manually built knowledge resource, NE-NET has a wide coverage consisting of 1.5 million NEs represented as nodes of a graph with 6.5 million arcs relating them. NE-NET also provides the ranks of the related NEs using a simple ranking function that authors propose. In this paper, authors present NE-NET and experiments showing how NE-NET can be used to improve the retrieval of spoken (Broadcast News) and text documents. |
Revision as of 21:41, 2 November 2019
Named Entity Network based on Wikipedia - scientific work related to Wikipedia quality published in 2009, written by Sameer Maskey and Wisam Dakka.
Overview
Named Entities (NEs) play an important role in many natural language and speech processing tasks. A resource that identifies relations between NEs could potentially be very useful. Authors present such automatically generated knowledge resource from Wikipedia, Named Entity Network (NE-NET), that provides a list of related Named Entities (NEs) and the degree of relation for any given NE. Unlike some manually built knowledge resource, NE-NET has a wide coverage consisting of 1.5 million NEs represented as nodes of a graph with 6.5 million arcs relating them. NE-NET also provides the ranks of the related NEs using a simple ranking function that authors propose. In this paper, authors present NE-NET and experiments showing how NE-NET can be used to improve the retrieval of spoken (Broadcast News) and text documents.
