| Just how mad are you? Finding strong and weak opinion clauses T Wilson, J Wiebe, R Hwa aaai 4, 761-769, 2004 | 646 | 2004 |
| Bootstrapping parsers via syntactic projection across parallel texts R Hwa, P Resnik, A Weinberg, C Cabezas, O Kolak Natural language engineering 11 (3), 311-325, 2005 | 459 | 2005 |
| Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing M Palmer, R Hwa, S Riedel Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 289 | 2017 |
| Recognizing strong and weak opinion clauses T Wilson, J Wiebe, R Hwa Computational intelligence 22 (2), 73-99, 2006 | 214 | 2006 |
| Bootstrapping statistical parsers from small datasets M Steedman, M Osborne, A Sarkar, S Clark, R Hwa, J Hockenmaier, ... Proceedings of the Tenth Conference on European Chapter of the Association …, 2003 | 203 | 2003 |
| Sample selection for statistical parsing R Hwa Computational linguistics 30 (3), 253-276, 2004 | 192 | 2004 |
| Evaluating translational correspondence using annotation projection R Hwa, P Resnik, A Weinberg, O Kolak Proceedings of the 40th annual meeting of the association for computational …, 2002 | 168 | 2002 |
| Co-training for predicting emotions with spoken dialogue data B Maeireizo, D Litman, R Hwa Proceedings of the ACL Interactive Poster and Demonstration Sessions, 202-205, 2004 | 142 | 2004 |
| Sample selection for statistical grammar induction R Hwa 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language …, 2000 | 105 | 2000 |
| Supervised grammar induction using training data with limited constituent information R Hwa arXiv preprint cs/9905001, 1999 | 89 | 1999 |
| Regression for sentence-level MT evaluation with pseudo references J Albrecht, R Hwa Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007 | 85 | 2007 |
| A re-examination of machine learning approaches for sentence-level MT evaluation J Albrecht, R Hwa Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007 | 81 | 2007 |
| Corrected co-training for statistical parsers R Hwa, M Osborne, A Sarkar, M Steedman Proceedings of the Twentieth International Conference on Machine Learning …, 2003 | 73 | 2003 |
| Equal but not the same: Understanding the implicit relationship between persuasive images and text M Zhang, R Hwa, A Kovashka arXiv preprint arXiv:1807.08205, 2018 | 71 | 2018 |
| Example selection for bootstrapping statistical parsers M Steedman, R Hwa, S Clark, M Osborne, A Sarkar, J Hockenmaier, ... Proceedings of the 2003 Human Language Technology Conference of the North …, 2003 | 69 | 2003 |
| A corpus of annotated revisions for studying argumentative writing F Zhang, HB Hashemi, R Hwa, D Litman Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 58 | 2017 |
| Duster: A method for unraveling cross-language divergences for statistical word-level alignment BJ Dorr, L Pearl, R Hwa, N Habash Machine Translation: From Research to Real Users: 5th Conference of the …, 2002 | 58 | 2002 |
| NLPReViz: an interactive tool for natural language processing on clinical text G Trivedi, P Pham, WW Chapman, R Hwa, J Wiebe, H Hochheiser Journal of the American Medical Informatics Association 25 (1), 81-87, 2018 | 54 | 2018 |
| Syntax-based semi-supervised named entity tagging B Mohit, R Hwa Proceedings of the ACL Interactive Poster and Demonstration Sessions, 57-60, 2005 | 52 | 2005 |
| A backoff model for bootstrapping resources for non-english languages C Xi, R Hwa Proceedings of Human Language Technology Conference and Conference on …, 2005 | 51 | 2005 |
Janyce WiebeProfessor Computer Science and Intelligent Systems, University of PittsburghBestätigte E-Mail-Adresse bei cs.pitt.edu
