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ORCIDDan Shen 0001
Person information
- affiliation (PhD 2008): Saarland University, Germany
- affiliation (former): National University of Singapore
Other persons with the same name
- Dan Shen — disambiguation page
- Dan Shen 0002 — University of North Carolina, Chapel Hill, USA
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2000 – 2009
- 2008
[b1]Dan Shen:
Exploring rich evidence for maximum entropy-based question answering. Saarland University, 2008- 2007
- [c7]Dan Shen, Michael Wiegand, Andreas Merkel, Stefan Kazalski, Sabine Hunsicker, Jochen L. Leidner, Dietrich Klakow:
The Alyssa System at TREC QA 2007: Do We Need Blog06? TREC 2007 - 2006
- [c6]Dan Shen, Dietrich Klakow:
Exploring Correlation of Dependency Relation Paths for Answer Extraction. ACL 2006 - [c5]Dan Shen, Jochen L. Leidner, Andreas Merkel, Dietrich Klakow:
The Alyssa System at TREC 2006: A Statistically-Inspired Question Answering System. TREC 2006 - 2005
- [j3]Guodong Zhou
, Dan Shen, Jie Zhang, Jian Su, Soon-Heng Tan:
Recognition of protein/gene names from text using an ensemble of classifiers. BMC Bioinform. 6(S-1) (2005) - [c4]Dan Shen, Geert-Jan M. Kruijff, Dietrich Klakow:
Exploring Syntactic Relation Patterns for Question Answering. IJCNLP 2005: 507-518 - 2004
- [j2]Guodong Zhou, Jie Zhang, Jian Su, Dan Shen, Chew Lim Tan:
Recognizing names in biomedical texts: a machine learning approach. Bioinform. 20(7): 1178-1190 (2004) - [j1]Jie Zhang, Dan Shen, Guodong Zhou, Jian Su, Chew Lim Tan:
Enhancing HMM-based biomedical named entity recognition by studying special phenomena. J. Biomed. Informatics 37(6): 411-422 (2004) - [c3]Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew Lim Tan:
Multi-Criteria-based Active Learning for Named Entity Recognition. ACL 2004: 589-596 - [c2]Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew Lim Tan:
A Collaborative Ability Measurement for Co-training. IJCNLP 2004: 436-445 - 2003
- [c1]Dan Shen, Jie Zhang, Guodong Zhou, Jian Su, Chew Lim Tan:
Effective Adaptation of Hidden Markov Model-based Named Entity Recognizer for Biomedical Domain. BioNLP@ACL 2003: 49-56
Coauthor Index
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