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Named entity network based on wikipedia
Abstract Named Entities (NEs) play an important rolNamed 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. We 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 we propose. In this paper, we present NE-NET and our experiments showing how NE-NET can be used to improve the retrieval of spoken (Broadcast News) and text documents. Copyrightadcast News) and text documents. Copyright
Abstractsub Named Entities (NEs) play an important rolNamed 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. We 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 we propose. In this paper, we present NE-NET and our experiments showing how NE-NET can be used to improve the retrieval of spoken (Broadcast News) and text documents. Copyrightadcast News) and text documents. Copyright
Bibtextype inproceedings  +
Has author Maskey S. + , Dakka W. +
Has extra keyword Automatically generated + , Broadcast news + , Information extraction + , Knowledge resource + , Named entities + , Natural languages + , Network-based + , Question answering + , Ranking functions + , Speech retrieval + , Text document + , Wikipedia + , Information analysis + , Speech communication + , Speech processing + , Natural language processing systems +
Has keyword Information extraction + , Named entities + , Question answering + , Speech retrieval +
Issn 19909772  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 1515–1518  +
Published in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH +
Title Named entity network based on wikipedia +
Type conference paper  +
Year 2009 +
Creation dateThis property is a special property in this wiki. 8 November 2014 01:45:36  +
Categories Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 01:45:36  +
DateThis property is a special property in this wiki. 2009  +
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