Bilateral multi-perspective matching for natural language sentences Z Wang, W Hamza, R Florian arXiv preprint arXiv:1702.03814, 2017 | 898 | 2017 |
Named entity recognition through classifier combination R Florian, A Ittycheriah, H Jing, T Zhang Proceedings of the seventh conference on Natural language learning at HLT …, 2003 | 661 | 2003 |
Transformation-based learning in the fast lane G Ngai, R Florian arXiv preprint cs/0107020, 2001 | 281 | 2001 |
A statistical model for multilingual entity detection and tracking R Florian, H Hassan, A Ittycheriah, H Jing, N Kambhatla, X Luo, N Nicolov, ... Proceedings of the Human Language Technology Conference of the North …, 2004 | 268 | 2004 |
Methods and apparatus for extracting facts from a medical text NE Snider, BW Delaney, G Yegnanarayanan, R Florian, M Franz, ... US Patent 10,496,743, 2019 | 252 | 2019 |
Deep analysis of natural language questions for question answering system V Castelli, R Florian, X Luo, S Maskey, H Raghavan US Patent 9,471,559, 2016 | 232 | 2016 |
Combining classifiers for word sense disambiguation R Florian, S Cucerzan, C Schafer, D Yarowsky Natural Language Engineering 8 (4), 327-341, 2002 | 192* | 2002 |
Evaluating sense disambiguation across diverse parameter spaces D Yarowsky, R Florian Natural Language Engineering 8 (4), 293-310, 2002 | 177 | 2002 |
Multi-perspective context matching for machine comprehension Z Wang, H Mi, W Hamza, R Florian arXiv preprint arXiv:1612.04211, 2016 | 157 | 2016 |
A sentence compression based framework to query-focused multi-document summarization L Wang, H Raghavan, V Castelli, R Florian, C Cardie arXiv preprint arXiv:1606.07548, 2016 | 152 | 2016 |
Weakly supervised cross-lingual named entity recognition via effective annotation and representation projection J Ni, G Dinu, R Florian arXiv preprint arXiv:1707.02483, 2017 | 150 | 2017 |
Learning to predict readability using diverse linguistic features R Kate, X Luo, S Patwardhan, M Franz, R Florian, R Mooney, S Roukos, ... Proceedings of the 23rd International Conference on Computational …, 2010 | 142 | 2010 |
Exploring graph-structured passage representation for multi-hop reading comprehension with graph neural networks L Song, Z Wang, M Yu, Y Zhang, R Florian, D Gildea arXiv preprint arXiv:1809.02040, 2018 | 139 | 2018 |
Neural cross-lingual entity linking A Sil, G Kundu, R Florian, W Hamza Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 124 | 2018 |
Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking. H Ji, J Nothman, B Hachey, R Florian TAC, 2015 | 118 | 2015 |
GPT-too: A language-model-first approach for AMR-to-text generation M Mager, RF Astudillo, T Naseem, MA Sultan, YS Lee, R Florian, ... arXiv preprint arXiv:2005.09123, 2020 | 108 | 2020 |
Named entity recognition as a house of cards: Classifier stacking R Florian COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002), 2002 | 107 | 2002 |
Transition-based parsing with stack-transformers RF Astudillo, M Ballesteros, T Naseem, A Blodgett, R Florian arXiv preprint arXiv:2010.10669, 2020 | 79 | 2020 |
Taking the load off the conference chairs-towards a digital paper-routing assistant D Yarowsky, R Florian 1999 Joint SIGDAT Conference on Empirical Methods in Natural Language …, 1999 | 69 | 1999 |
Rewarding Smatch: Transition-based AMR parsing with reinforcement learning T Naseem, A Shah, H Wan, R Florian, S Roukos, M Ballesteros arXiv preprint arXiv:1905.13370, 2019 | 68 | 2019 |