Information Extraction Using Distant Supervision and Semantic Similarities

Information Extraction Using Distant Supervision and Semantic Similarities

Information extraction is one of the main research tasks in natural language processing and text mining that extracts useful information from unstructured sentences. Information extraction techniques include named entity recognition, relation extraction, and co-reference resolution. Among them, rel...

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Bibliographic Details
Main Authors: PARK, Y., KANG, S., SEO, J.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2016-02-01
Series:Advances in Electrical and Computer Engineering
Subjects:
relation extraction
unsupervised learning
distant supervision
information extraction
natural language processing
Online Access:http://dx.doi.org/10.4316/AECE.2016.01002

Internet

http://dx.doi.org/10.4316/AECE.2016.01002

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