Dan Roth
TítuloCitado porAño
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
Design challenges and misconceptions in named entity recognition
L Ratinov, D Roth
Proceedings of the thirteenth conference on computational natural language …, 2009
Learning to detect objects in images via a sparse, part-based representation
S Agarwal, A Awan, D Roth
IEEE Transactions on Pattern Analysis & Machine Intelligence, 1475-1490, 2004
Learning question classifiers
X Li, D Roth
Proceedings of the 19th international conference on Computational …, 2002
Emotions from text: machine learning for text-based emotion prediction
CO Alm, D Roth, R Sproat
Proceedings of the conference on human language technology and empirical …, 2005
Learning a sparse representation for object detection
S Agarwal, D Roth
European conference on computer vision, 113-127, 2002
On the hardness of approximate reasoning
D Roth
Artificial Intelligence 82 (1-2), 273-302, 1996
Local and global algorithms for disambiguation to wikipedia
L Ratinov, D Roth, D Downey, M Anderson
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
A SNoW-based face detector
MH Yang, D Roth, N Ahuja
Advances in neural information processing systems, 862-868, 2000
A winnow-based approach to context-sensitive spelling correction
AR Golding, D Roth
Machine learning 34 (1-3), 107-130, 1999
The importance of syntactic parsing and inference in semantic role labeling
V Punyakanok, D Roth, W Yih
Computational Linguistics 34 (2), 257-287, 2008
A linear programming formulation for global inference in natural language tasks
D Roth, W Yih
Proceedings of the Eighth Conference on Computational Natural Language …, 2004
Advances in neural information processing systems
L Xu
Advances in Neural Information Processing Systems, 633-640, 1995
Constraint classification for multiclass classification and ranking
S Har-Peled, D Roth, D Zimak
Advances in neural information processing systems, 809-816, 2003
Learning question classifiers: the role of semantic information
X Li, D Roth
Natural Language Engineering 12 (3), 229-249, 2006
Understanding the value of features for coreference resolution
E Bengtson, D Roth
Proceedings of the Conference on Empirical Methods in Natural Language …, 2008
Mistake-driven learning in text categorization
I Dagan, Y Karov, D Roth
arXiv preprint cmp-lg/9706006, 1997
Learning to resolve natural language ambiguities: A unified approach
D Roth
AAAI/IAAI, 806-813, 1998
Knowing what to believe (when you already know something)
J Pasternack, D Roth
Proceedings of the 23rd International Conference on Computational …, 2010
Lifted first-order probabilistic inference
RDS Braz, E Amir, D Roth
Proceedings of the 19th international joint conference on Artificial …, 2005
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Artículos 1–20