Social relation extraction based on chinese wikipedia articles

Authors:
Maofu Liu;Yu Xiao;Chunwei Lei;Xin Zhou
Affiliations:
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China;College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China;College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China;College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China
Venue:
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Year:
2012

Citing 6
Cited 0

Integrating probabilistic extraction models and data mining to discover relations and patterns in text

HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Relation extraction from wikipedia using subtree mining

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Social Network Mining Based on Wikipedia

IALP '10 Proceedings of the 2010 International Conference on Asian Language Processing
Social networks of Wikipedia

Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Extraction of semantic relation based on feature vector from wikipedia

PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Biographical social networks on Wikipedia: a cross-cultural study of links that made history

Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration

Quantified Score

Hi-index	0.00

Visualization

Abstract

Our work in this paper pays more attention to information extraction about social relations from Chinese Wikipedia articles and construction of social relation network. After obtaining the Chinese Wikipedia articles according to the provided person name, locating the relationship description sentences in the Chinese Wikipedia articles and extracting the social relation information based on the sentence semantic parser, we can construct the social network centered with the provided person name, using the social relation information. The relation set also can be iteratively expanded based on the person names associated with the provided person name in the related Chinese Wikipedia articles.