Dan Roth
Title
Cited by
Cited by
Year
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
17552007
Advances in neural information processing systems 22
DD Lee, P Pham, Y Largman, A Ng
Tech. Rep., Tech. Rep, 2009
1708*2009
Design challenges and misconceptions in named entity recognition
L Ratinov, D Roth
Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009
15292009
Learning question classifiers
X Li, D Roth
COLING 2002: The 19th International Conference on Computational Linguistics, 2002
12462002
Learning to detect objects in images via a sparse, part-based representation
S Agarwal, A Awan, D Roth
IEEE transactions on pattern analysis and machine intelligence 26 (11), 1475 …, 2004
11822004
Emotions from text: machine learning for text-based emotion prediction
CO Alm, D Roth, R Sproat
Proceedings of human language technology conference and conference on …, 2005
9062005
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
7732011
On the hardness of approximate reasoning
D Roth
Artificial Intelligence 82 (1-2), 273-302, 1996
7541996
Learning a sparse representation for object detection
S Agarwal, D Roth
European conference on computer vision, 113-127, 2002
7512002
A snowbased face detector
D Roth, MH Yang, N Ahuja
Neural Information Processing 12, 2000
541*2000
The importance of syntactic parsing and inference in semantic role labeling
V Punyakanok, D Roth, W Yih
Computational Linguistics 34 (2), 257-287, 2008
4762008
A winnow-based approach to context-sensitive spelling correction
AR Golding, D Roth
Machine learning 34 (1), 107-130, 1999
4321999
A linear programming formulation for global inference in natural language tasks
D Roth, W Yih
ILLINOIS UNIV AT URBANA-CHAMPAIGN DEPT OF COMPUTER SCIENCE, 2004
4172004
1 Lifted First-Order Probabilistic Inference
R de Salvo Braz, E Amir, D Roth
Introduction to statistical relational learning, 433, 2019
378*2019
Learning question classifiers: the role of semantic information
X Li, D Roth
Natural Language Engineering 12 (3), 229-250, 2006
3482006
Understanding the value of features for coreference resolution
E Bengtson, D Roth
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
3312008
Knowing what to believe (when you already know something)
J Pasternack, D Roth
Proceedings of the 23rd International Conference on Computational …, 2010
3212010
Recognizing textual entailment: Rational, evaluation and approaches–erratum
I Dagan, B Dolan, B Magnini, D Roth
Natural Language Engineering 16 (1), 105-105, 2010
2882010
Mistake-driven learning in text categorization
I Dagan, Y Karov, D Roth
arXiv preprint cmp-lg/9706006, 1997
2881997
Learning to resolve natural language ambiguities: A unified approach
D Roth
AAAI/IAAI, 806-813, 1998
2761998
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Articles 1–20