TY - GEN
T1 - Towards high-quality semantic entity detection over online forums
AU - Du, Juan
AU - Zhang, Weiming
AU - Cai, Peng
AU - Ma, Linling
AU - Qian, Weining
AU - Zhou, Aoying
PY - 2011
Y1 - 2011
N2 - 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 difficulty 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.
AB - 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 difficulty 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.
UR - https://www.scopus.com/pages/publications/80054072761
U2 - 10.1007/978-3-642-24704-0_31
DO - 10.1007/978-3-642-24704-0_31
M3 - 会议稿件
AN - SCOPUS:80054072761
SN - 9783642247033
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 287
EP - 291
BT - Social Informatics - Third International Conference, SocInfo 2011, Proceedings
T2 - 3rd International Conference on Social Informatics, SocInfo 2011
Y2 - 6 October 2011 through 8 October 2011
ER -