Active Bibliography

2 Learning to Predict from Textual Data – Kira Radinsky, Sagie Davidovich, Shaul Markovitch
Open Information Extraction using Wikipedia (An updated and corrected version of our ACL-2010 paper) – Fei Wu, Daniel S. Weld
Machine Reading: from Wikipedia to the Web – Fei Wu - 2010
42 BOpen information extraction using Wikipedia – Fei Wu, Daniel S. Weld
Relation Extraction for Monitoring Economic Networks – Martin Had, Felix Jungermann, Katharina Morik
Clustering-based Stratified Seed Sampling for Semi-Supervised Relation Classification – Longhua Qian, Guodong Zhou
Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features – Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
Semi-Supervised Convolution Graph Kernels for Relation Extraction – Xia Ning, Yanjun Qi
Compensating for Annotation Errors in Training a Relation Extractor – Bonan Min, Ralph Grishman
1 Automatic Detection and Classification of Social Events – Apoorv Agarwal, Owen Rambow
Tree Kernel-based Relation Extraction with Various Entity-Related Features * – Longhua Qian, Guodong Zhou, Qiaomin Zhu, Peide Qian
Dependency-directed Tree Kernel-based Protein-Protein Interaction Extraction from Biomedical Literature – Longhua Qian, Guodong Zhou
iii Acknowledgements – Ang Sun, Heng Ji, Ernest Davis, Lakshminarayanan Subramanian, The Proteus Group - 2012
9 A Re-examination of Dependency Path Kernels for Relation Extraction – Mengqui Wang
17 Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction – Truc-Vien T. Nguyen, Alessandro Moschitti, Giuseppe Riccardi - 2009
28 A systematic exploration of the feature space for relation extraction – Jing Jiang, Chengxiang Zhai - 2007
Semantic Search in Tabular Structures – Er Pivk, Matjaž Gams, Mitja Luštrek - 2005
37 Mining knowledge from text using information extraction – Raymond J. Mooney, Razvan Bunescu - 2005