Design challenges and misconceptions in named entity recognition L Ratinov, D Roth Proceedings of the thirteenth conference on computational natural language …, 2009 | 1994 | 2009 |
Learning question classifiers X Li, D Roth COLING 2002: The 19th International Conference on Computational Linguistics, 2002 | 1816 | 2002 |
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 | 1231 | 2004 |
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 | 1183 | 2005 |
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 | 915 | 2011 |
On the hardness of approximate reasoning D Roth Artificial Intelligence 82 (1-2), 273-302, 1996 | 897 | 1996 |
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 | 850 | 2022 |
Learning a sparse representation for object detection S Agarwal, D Roth Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 807 | 2002 |
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 | 613 | 2023 |
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 | 606 | 2004 |
Benchmarking zero-shot text classification: Datasets, evaluation and entailment approach W Yin, J Hay, D Roth arXiv preprint arXiv:1909.00161, 2019 | 582 | 2019 |
A SNoW-based face detector MH Yang, D Roth, N Ahuja Advances in neural information processing systems 12, 1999 | 575 | 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 | 548 | 2008 |
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 | 495 | 2018 |
A winnow-based approach to context-sensitive spelling correction AR Golding, D Roth Machine learning 34, 107-130, 1999 | 464 | 1999 |
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 | 423 | 2022 |
Lifted first-order probabilistic inference R Braz, E Amir, D Roth Proceedings of the Nineteenth International Joint Conference on Artificial …, 2005 | 417* | 2005 |
Learning question classifiers: the role of semantic information X Li, D Roth Natural Language Engineering 12 (3), 229-249, 2006 | 413 | 2006 |
Knowing what to believe (when you already know something) J Pasternack, D Roth Proceedings of the 23rd International Conference on Computational …, 2010 | 388 | 2010 |