Ralph Weischedel
Ralph Weischedel
Senior Supvervisory Computer Scientist, USC Information Sciences Institute
Verified email at
Cited by
Cited by
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
Nymble: a high-performance learning name-finder
DM Bikel, S Miller, R Schwartz, R Weischedel
arXiv preprint cmp-lg/9803003, 1998
An algorithm that learns what's in a name
DM Bikel, R Schwartz, RM Weischedel
Machine learning 34, 211-231, 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
Performance measures for information extraction
J Makhoul, F Kubala, R Schwartz, R Weischedel
Proceedings of DARPA broadcast news workshop, 249-252, 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
Ontonotes release 4.0
R Weischedel, S Pradhan, L Ramshaw, M Palmer, N Xue, M Marcus, ...
LDC2011T03, Philadelphia, Penn.: Linguistic Data Consortium 17, 2011
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
Ontonotes release 5.0 ldc2013t19
R Weischedel, M Palmer, M Marcus, E Hovy, S Pradhan, L Ramshaw, ...
Linguistic Data Consortium, Philadelphia, PA 23, 170, 2013
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
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
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
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
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
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
BBN pronoun coreference and entity type corpus
R Weischedel, A Brunstein
Linguistic Data Consortium, Philadelphia 112, 2005
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
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
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
Optimal network problem: a branch-and-bound algorithm
DE Boyce, A Farhi, R Weischedel
Environment and Planning A 5 (4), 519-533, 1973
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