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 Syntactic Relation Patterns for Question Answering. - Dan Shen 001; Geert-Jan M. Kruijff; Dietrich Klakow (IJCNLP, 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)

Exploring Correlation of Dependency Relation Paths for Answer Extraction. - Dan Shen 001; Dietrich Klakow (ACL, 2006)

The Alyssa System at TREC 2006: A Statistically-Inspired Question Answering System. - Dan Shen 001; Jochen L. Leidner; Andreas Merkel; Dietrich Klakow (TREC, 2006)

The Alyssa System at TREC QA 2007: Do We Need Blog06? - Dan Shen 001; Michael Wiegand; Andreas Merkel; Stefan Kazalski; Sabine Hunsicker; Jochen L. Leidner; Dietrich Klakow (TREC, 2007)

Exploring rich evidence for maximum entropy-based question answering. - Dan Shen 001 (2008)