Active Bibliography

36 An effective two-stage model for exploiting non-local dependencies in named entity recognition – Vijay Krishnan, Christopher D. Manning - 2006
Efficient Training Methods for Conditional Random Fields – Charles A. Sutton - 2008
1 Learning for collective information extraction – Razvan C. Bunescu - 2004
563 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
20 SVM Based Learning System For Information Extraction – Yaoyong Li, Kalina Bontcheva, Hamish Cunningham - 2005
54 Location-based activity recognition – Lin Liao, Dieter Fox, Henry Kautz - 2005
1 Passage Retrieval for Incorporating Global Evidence in Sequence Labeling – Jeffrey Dalton, James Allan, David A. Smith
1 Using ILP to Construct Features for Information Extraction from Semi-Structured Text – Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Balakrishnan
17 Structural Event Detection for Rich Transcription of Speech – Yang Liu - 2004
77 Piecewise training of undirected models – Charles Sutton, Andrew Mccallum - 2005
26 Multi-field information extraction and cross-document fusion – Gideon S. Mann, David Yarowsky - 2005
21 2D conditional random fields for web information extraction – Zaiqing Nie, Ji-rong Wen, Bo Zhang - 2005
21 Exploring the boundaries: Gene and protein identification in biomedical text – Jenny Finkel, Shipra Dingare, Christopher D. Manning, Malvina Nissim, Beatrice Alex, Claire Grover - 2004
Using Non-Local Features to Improve Named Entity Recognition Recall ∗ – Xinnian Mao, Wei Xu, Yuan Dong, Saike He, Haila Wang
149 Wide-coverage efficient statistical parsing with CCG and log-linear models – Stephen Clark, James R. Curran - 2007
Effective Bilingual Constraints for Semi-supervised Learning of Named Entity Recognizers – Mengqiu Wang, Wanxiang Che, Christopher D. Manning
2 Text Augmentation: Inserting XML tags into natural language text with PPM Models and Viterbi-like search – Stuart A. Yeates - 2003
On Learning Conditional Random Fields for Stereo -- Exploring Model Structures and Approximate Inference – Daniel Scharstein, et al. - 2010
7 Learnable Similarity Functions and Their Applications to Clustering and Record Linkage – Mikhail Bilenko - 2004