A Novel Entity Relation Extraction Approach Based on Micro-Blog
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Chenxing Li | Hao Zheng | Jianbo Yang | YaJun Du | Sida Wang
[1] Michael Collins,et al. Convolution Kernels for Natural Language , 2001, NIPS.
[2] Jian Su,et al. A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features , 2006, ACL.
[3] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[4] Jian Su,et al. Exploring Various Knowledge in Relation Extraction , 2005, ACL.
[5] Dmitry Zelenko,et al. Kernel methods for relation extraction , 2003 .
[6] David Haussler,et al. Convolution kernels on discrete structures , 1999 .
[7] Harksoo Kim,et al. Social relation extraction from texts using a support-vector-machine-based dependency trigram kernel , 2013, Inf. Process. Manag..
[8] Ralph Grishman,et al. Extracting Relations with Integrated Information Using Kernel Methods , 2005, ACL.
[9] Guodong Zhou,et al. Exploring syntactic structured features over parse trees for relation extraction using kernel methods , 2008, Inf. Process. Manag..
[10] Scott Miller,et al. A Novel Use of Statistical Parsing to Extract Information from Text , 2000, ANLP.
[11] Aron Culotta,et al. Dependency Tree Kernels for Relation Extraction , 2004, ACL.
[12] Guodong Zhou,et al. Tree kernel-based semantic relation extraction with rich syntactic and semantic information , 2010, Inf. Sci..
[13] Nanda Kambhatla,et al. Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations , 2004, ACL 2004.