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Dan Roth
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Year
Design challenges and misconceptions in named entity recognition
L Ratinov, D Roth
Proceedings of the thirteenth conference on computational natural language …, 2009
19872009
Learning question classifiers
X Li, D Roth
COLING 2002: The 19th International Conference on Computational Linguistics, 2002
17932002
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
12352004
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
11802005
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
9122011
On the hardness of approximate reasoning
D Roth
Artificial Intelligence 82 (1-2), 273-302, 1996
8941996
Learning a sparse representation for object detection
S Agarwal, D Roth
Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002
8082002
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
8042022
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
5952004
A SNoW-based face detector
MH Yang, D Roth, N Ahuja
Advances in neural information processing systems 12, 1999
5711999
Benchmarking zero-shot text classification: Datasets, evaluation and entailment approach
W Yin, J Hay, D Roth
arXiv preprint arXiv:1909.00161, 2019
5692019
Recent advances in natural language processing via large pre-trained language models: A survey
B Min, H Ross, E Sulem, APB Veyseh, TH Nguyen, O Sainz, E Agirre, ...
ACM Computing Surveys 56 (2), 1-40, 2023
5502023
The importance of syntactic parsing and inference in semantic role labeling
V Punyakanok, D Roth, W Yih
Computational Linguistics 34 (2), 257-287, 2008
5492008
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
4842018
A winnow-based approach to context-sensitive spelling correction
AR Golding, D Roth
Machine learning 34, 107-130, 1999
4601999
Constraint classification for multiclass classification and ranking
S Har-Peled, D Roth, D Zimak
Advances in neural information processing systems 15, 2002
431*2002
Recognizing textual entailment: Models and applications
I Dagan, D Roth, F Zanzotto, M Sammons
Springer Nature, 2022
4212022
Lifted first-order probabilistic inference
R Braz, E Amir, D Roth
Proceedings of the Nineteenth International Joint Conference on Artificial …, 2005
418*2005
Learning question classifiers: the role of semantic information
X Li, D Roth
Natural Language Engineering 12 (3), 229-249, 2006
4112006
Knowing what to believe (when you already know something)
J Pasternack, D Roth
Proceedings of the 23rd International Conference on Computational …, 2010
3902010
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