| Just how mad are you? Finding strong and weak opinion clauses T Wilson, J Wiebe, R Hwa aaai 4, 761-769, 2004 | 623 | 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 | 434 | 2005 |
| Recognizing strong and weak opinion clauses T Wilson, J Wiebe, R Hwa Computational intelligence 22 (2), 73-99, 2006 | 204 | 2006 |
| Bootstrapping statistical parsers from small datasets M Steedman, M Osborne, A Sarkar, S Clark, R Hwa, J Hockenmaier, ... 10th conference of the European chapter of the association for computational …, 2003 | 193 | 2003 |
| Sample selection for statistical parsing R Hwa Computational linguistics 30 (3), 253-276, 2004 | 182 | 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 | 164 | 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 | 138 | 2004 |
| Sample selection for statistical grammar induction R Hwa 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language …, 2000 | 102 | 2000 |
| Supervised grammar induction using training data with limited constituent information R Hwa arXiv preprint cs/9905001, 1999 | 88 | 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 | 84 | 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 | 79 | 2007 |
| Corrected co-training for statistical parsers R Hwa, M Osborne, A Sarkar, M Steedman Working Notes of the ICML’03 Workshop on the Continuum from Labeled to …, 2003 | 75 | 2003 |
| 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 | 67 | 2003 |
| 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 | 56 | 2002 |
| 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 | 53 | 2018 |
| 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 |
| 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 | 50 | 2017 |
| Syntax-based semi-supervised named entity tagging B Mohit, R Hwa Proceedings of the ACL Interactive Poster and Demonstration Sessions, 57-60, 2005 | 49 | 2005 |
| Recognizing arguing subjectivity and argument tags A Conrad, J Wiebe, R Hwa Proceedings of the workshop on extra-propositional aspects of meaning in …, 2012 | 45 | 2012 |
| Heuristic sample selection to minimize reference standard training set for a part-of-speech tagger K Liu, W Chapman, R Hwa, RS Crowley Journal of the American Medical Informatics Association 14 (5), 641-650, 2007 | 42 | 2007 |
