ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Named entity network based on wikipedia

Sameer Maskey, Wisam Dakka

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. 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.

doi: 10.21437/Interspeech.2009-460

Cite as: Maskey, S., Dakka, W. (2009) Named entity network based on wikipedia. Proc. Interspeech 2009, 1515-1518, doi: 10.21437/Interspeech.2009-460

  author={Sameer Maskey and Wisam Dakka},
  title={{Named entity network based on wikipedia}},
  booktitle={Proc. Interspeech 2009},