Towards high-quality semantic entity detection over online forums

Authors:
Juan Du;Weiming Zhang;Peng Cai;Linling Ma;Weining Qian;Aoying Zhou
Affiliations:
Institute of Massive Computing, Software Engineering Institute, East China Normal University;Institute of Massive Computing, Software Engineering Institute, East China Normal University;Institute of Massive Computing, Software Engineering Institute, East China Normal University;Institute of Massive Computing, Software Engineering Institute, East China Normal University;Institute of Massive Computing, Software Engineering Institute, East China Normal University;Institute of Massive Computing, Software Engineering Institute, East China Normal University
Venue:
SocInfo'11 Proceedings of the Third international conference on Social informatics
Year:
2011

Citing 6
Cited 0

Event-Based Extractive Summarization Using Event Semantic Relevance from External Linguistic Resource

ALPIT '07 Proceedings of the Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007)
Building semantic kernels for text classification using wikipedia

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Real-Time News Event Extraction for Global Crisis Monitoring

NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Semantic entity detection by integrating CRF and SVM

WAIM'10 Proceedings of the 11th international conference on Web-age information management
Linking online news and social media

Proceedings of the fourth ACM international conference on Web search and data mining
AUCWeb: A prototype for analyzing user-created web data

DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

User-generated content (UGC) implies user-behaviors. Mining on such data helps understanding the relationship between social media and the real world. Howevr, UGC is usually of low quality, which results in the diffculty of semantic entity extraction. In this paper, we propose a method towards high-quality semantic entity refinement on forums by employing external resources. Experiments on real-life Chinese online forums show the effectiveness of our method.