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Dan Roth
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Design challenges and misconceptions in named entity recognition
L Ratinov, D Roth
Proceedings of the thirteenth conference on computational natural language …, 2009
18362009
Learning question classifiers
X Li, D Roth
COLING 2002: The 19th International Conference on Computational Linguistics, 2002
15872002
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
12172004
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
10932005
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
8792011
On the hardness of approximate reasoning
D Roth
Artificial Intelligence 82 (1-2), 273-302, 1996
8481996
Learning a sparse representation for object detection
S Agarwal, D Roth
Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002
7902002
A SNoW-based face detector
MH Yang, D Roth, N Ahuja
Advances in neural information processing systems 12, 1999
5721999
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
5262004
The importance of syntactic parsing and inference in semantic role labeling
V Punyakanok, D Roth, W Yih
Computational Linguistics 34 (2), 257-287, 2008
5242008
A winnow-based approach to context-sensitive spelling correction
AR Golding, D Roth
Machine learning 34, 107-130, 1999
4631999
Constraint classification for multiclass classification and ranking
S Har-Peled, D Roth, D Zimak
Advances in neural information processing systems 15, 2002
418*2002
Lifted first-order probabilistic inference
R Braz, E Amir, D Roth
Proceedings of the Nineteenth International Joint Conference on Artificial …, 2005
399*2005
Learning question classifiers: the role of semantic information
X Li, D Roth
Natural Language Engineering 12 (3), 229-249, 2006
3962006
Recognizing textual entailment: Models and applications
I Dagan, D Roth, M Sammons, FM Zanzotto
Synthesis Lectures on Human Language Technologies 6 (4), 1-220, 2013
3802013
Understanding the value of features for coreference resolution
E Bengtson, D Roth
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
3662008
Knowing what to believe (when you already know something)
J Pasternack, D Roth
Proceedings of the 23rd International Conference on Computational …, 2010
3622010
Looking beyond the surface: A challenge set for reading comprehension over multiple sentences
D Khashabi, S Chaturvedi, M Roth, S Upadhyay, D Roth
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
3532018
Recognizing textual entailment: Rational, evaluation and approaches–erratum
I Dagan, B Dolan, B Magnini, D Roth
Natural Language Engineering 16 (1), 105-105, 2010
3472010
Benchmarking zero-shot text classification: Datasets, evaluation and entailment approach
W Yin, J Hay, D Roth
arXiv preprint arXiv:1909.00161, 2019
3292019
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