| 2009 |
|---|
| 11 | EE | Dan Shen,
Xiaoyuan Wu,
Alvaro Bolivar:
Rare item detection in e-commerce site.
WWW 2009: 1099-1100 |
| 2007 |
|---|
| 10 | | Irene M. Cramer,
Barbara Rauch,
Hagen Fürstenau,
Dan Shen,
Maria Staudte:
Predicting Classifcation Decisions with Data Point Based Meta-learning.
MLDM Posters 2007: 211-215 |
| 9 | EE | 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 |
|---|
| 8 | EE | Dan Shen,
Dietrich Klakow:
Exploring Correlation of Dependency Relation Paths for Answer Extraction.
ACL 2006 |
| 7 | EE | Dan Shen,
Jochen L. Leidner,
Andreas Merkel,
Dietrich Klakow:
The Alyssa System at TREC 2006: A Statistically-Inspired Question Answering System.
TREC 2006 |
| 2005 |
|---|
| 6 | EE | Dan Shen,
Geert-Jan M. Kruijff,
Dietrich Klakow:
Exploring Syntactic Relation Patterns for Question Answering.
IJCNLP 2005: 507-518 |
| 2004 |
|---|
| 5 | EE | Dan Shen,
Jie Zhang,
Jian Su,
Guodong Zhou,
Chew Lim Tan:
Multi-Criteria-based Active Learning for Named Entity Recognition.
ACL 2004: 589-596 |
| 4 | EE | Dan Shen,
Jie Zhang,
Jian Su,
Guodong Zhou,
Chew Lim Tan:
A Collaborative Ability Measurement for Co-training.
IJCNLP 2004: 436-445 |
| 3 | EE | Guodong Zhou,
Jie Zhang,
Jian Su,
Dan Shen,
Chew Lim Tan:
Recognizing names in biomedical texts: a machine learning approach.
Bioinformatics 20(7): 1178-1190 (2004) |
| 2 | EE | Jie Zhang,
Dan Shen,
Guodong Zhou,
Jian Su,
Chew Lim Tan:
Enhancing HMM-based biomedical named entity recognition by studying special phenomena.
Journal of Biomedical Informatics 37(6): 411-422 (2004) |
| 1999 |
|---|
| 1 | | Ethan L. Miller,
Dan Shen,
Junli Liu,
Charles K. Nicholas,
Ting Chen:
Techniques for Gigabyte-Scale N-gram Based Information Retrieval on Personal Computers.
PDPTA 1999: 1410-1416 |
