Effective Adaptation of Hidden Markov Model-based Named Entity Recognizer for Biomedical Domain. - Dan Shen 001; Jie Zhang 011; Guodong Zhou; Jian Su 002; Chew Lim Tan (BioNLP@ACL, 2003)

Multi-Criteria-based Active Learning for Named Entity Recognition. - Dan Shen 001; Jie Zhang 011; Jian Su 002; Guodong Zhou; Chew Lim Tan (ACL, 2004)

A Collaborative Ability Measurement for Co-training. - Dan Shen 001; Jie Zhang 011; Jian Su 002; Guodong Zhou; Chew Lim Tan (IJCNLP, 2004)

Recognizing names in biomedical texts: a machine learning approach. - Guodong Zhou; Jie Zhang 011; Jian Su 002; Dan Shen 001; Chew Lim Tan (Bioinform., 2004)

Enhancing HMM-based biomedical named entity recognition by studying special phenomena. - Jie Zhang 011; Dan Shen 001; Guodong Zhou; Jian Su 002; Chew Lim Tan (J. Biomed. Informatics, 2004)

Exploring Various Knowledge in Relation Extraction. - Guodong Zhou; Jian Su 002; Jie Zhang 011; Min Zhang 005 (ACL, 2005)

TREC 2005 Genomics Track at I2R. - Nie Yu; Lingpeng Yang; Dong-Hong Ji; Jie Zhang 011; Jian Su 002; Xiaofeng Yang 001; Soon-Heng Tan; Juan Xiao; Guodong Zhou (TREC, 2005)

Recognition of protein/gene names from text using an ensemble of classifiers. - Guodong Zhou; Dan Shen 001; Jie Zhang 011; Jian Su 002; Soon-Heng Tan (BMC Bioinform., 2005)

A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features. - Min Zhang 005; Jie Zhang 011; Jian Su 002; Guodong Zhou (ACL, 2006)

Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel. - Min Zhang 005; Jie Zhang 011; Jian Su 002 (HLT-NAACL, 2006)

I2R at TREC 2006 Genomics Track. - Nie Yu; Lingpeng Yang; Jie Zhang 011; Jian Su 002; Dong-Hong Ji (TREC, 2006)