The automatic content extraction (ace) program-tasks, data, and evaluation. GR Doddington, A Mitchell, MA Przybocki, LA Ramshaw, SM Strassel, ... Lrec 2 (1), 837-840, 2004 | 1739 | 2004 |
Nymble: a high-performance learning name-finder DM Bikel, S Miller, R Schwartz, R Weischedel arXiv preprint cmp-lg/9803003, 1998 | 1310 | 1998 |
An algorithm that learns what's in a name DM Bikel, R Schwartz, RM Weischedel Machine learning 34, 211-231, 1999 | 1225 | 1999 |
OntoNotes: the 90% solution E Hovy, M Marcus, M Palmer, L Ramshaw, R Weischedel Proceedings of the human language technology conference of the NAACL …, 2006 | 1201 | 2006 |
Ontonotes release 4.0 R Weischedel, S Pradhan, L Ramshaw, M Palmer, N Xue, M Marcus, ... LDC2011T03, Philadelphia, Penn.: Linguistic Data Consortium 17, 2011 | 906* | 2011 |
Performance measures for information extraction J Makhoul, F Kubala, R Schwartz, R Weischedel Proceedings of DARPA broadcast news workshop, 249-252, 1999 | 877 | 1999 |
Coping with ambiguity and unknown words through probabilistic models R Weischedel, M Meteer, R Schwartz, L Ramshaw, J Palmucci Computational linguistics 19 (2), 359-382, 1993 | 472 | 1993 |
Conll-2011 shared task: Modeling unrestricted coreference in ontonotes S Pradhan, L Ramshaw, M Marcus, M Palmer, R Weischedel, N Xue Proceedings of the fifteenth conference on computational natural language …, 2011 | 441 | 2011 |
Plan-and-write: Towards better automatic storytelling L Yao, N Peng, R Weischedel, K Knight, D Zhao, R Yan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7378-7385, 2019 | 430 | 2019 |
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, university of massachusetts amherst … J Allan, J Aslam, N Belkin, C Buckley, J Callan, B Croft, S Dumais, N Fuhr, ... ACM SIGIR Forum 37 (1), 31-47, 2003 | 336 | 2003 |
A new string-to-dependency machine translation algorithm with a target dependency language model L Shen, J Xu, R Weischedel Proceedings of ACL-08: HLT, 577-585, 2008 | 335 | 2008 |
A novel use of statistical parsing to extract information from text S Miller, H Fox, L Ramshaw, R Weischedel 1st Meeting of the North American Chapter of the Association for …, 2000 | 298 | 2000 |
Ontonotes: A unified relational semantic representation SS Pradhan, E Hovy, M Marcus, M Palmer, L Ramshaw, R Weischedel International Conference on Semantic Computing (ICSC 2007), 517-526, 2007 | 263 | 2007 |
OntoNotes: A large training corpus for enhanced processing R Weischedel, E Hovy, M Marcus, M Palmer, R Belvin, S Pradhan, ... Handbook of Natural Language Processing and Machine Translation. Springer 3 …, 2011 | 212 | 2011 |
BBN pronoun coreference and entity type corpus R Weischedel, A Brunstein Linguistic Data Consortium, Philadelphia 112, 2005 | 207 | 2005 |
Meta-rules as a basis for processing ill-formed input R Weischedel, NK Sondheimer American Journal of Computational Linguistics 9 (3-4), 161-177, 1983 | 203 | 1983 |
Evaluating a probabilistic model for cross-lingual information retrieval J Xu, R Weischedel, C Nguyen Proceedings of the 24th annual international ACM SIGIR conference on …, 2001 | 186 | 2001 |
Unrestricted coreference: Identifying entities and events in OntoNotes SS Pradhan, L Ramshaw, R Weischedel, J MacBride, L Micciulla International Conference on Semantic Computing (ICSC 2007), 446-453, 2007 | 182 | 2007 |
Optimal network problem: a branch-and-bound algorithm DE Boyce, A Farhi, R Weischedel Environment and Planning A 5 (4), 519-533, 1973 | 141 | 1973 |
Content planning for neural story generation with aristotelian rescoring S Goldfarb-Tarrant, T Chakrabarty, R Weischedel, N Peng arXiv preprint arXiv:2009.09870, 2020 | 137 | 2020 |