Vladimir Eidelman
Vladimir Eidelman
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Cited by
Cited by
cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models
C Dyer, A Lopez, J Ganitkevitch, J Weese, F Ture, P Blunsom, H Setiawan, ...
Proceedings of the ACL 2010 System Demonstrations, 7-12, 2010
BART: A modular toolkit for coreference resolution
Y Versley, SP Ponzetto, M Poesio, V Eidelman, A Jern, J Smith, X Yang, ...
Proceedings of the ACL-08: HLT Demo Session, 9-12, 2008
BillSum: A corpus for automatic summarization of US legislation
A Kornilova, V Eidelman
arXiv preprint arXiv:1910.00523, 2019
Topic Models for Dynamic Translation Model Adaptation
V Eidelman, J Boyd-Graber, P Resnik
Association for Computational Linguistics, 2012
Systems and methods for predicting future event outcomes based on data analysis
V Eidelman, B Grom, D Argyle, J Pinto
US Patent 11,127,099, 2021
Polylingual tree-based topic models for translation domain adaptation
Y Hu, K Zhai, V Eidelman, J Boyd-Graber
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
Computationally assisted regulatory participation
MA Livermore, V Eidelman, B Grom
Notre Dame L. Rev. 93, 977, 2017
Improving a simple bigram hmm part-of-speech tagger by latent annotation and self-training
Z Huang, V Eidelman, M Harper
Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009
The value of monolingual crowdsourcing in a real-world translation scenario: Simulation using Haitian Creole emergency SMS messages
C Hu, P Resnik, Y Kronrod, V Eidelman, O Buzek, BB Bederson
Proceedings of the Sixth Workshop on Statistical Machine Translation, 399-404, 2011
Party matters: Enhancing legislative embeddings with author attributes for vote prediction
A Kornilova, D Argyle, V Eidelman
arXiv preprint arXiv:1805.08182, 2018
Optimization strategies for online large-margin learning in machine translation
V Eidelman
Proceedings of the Seventh Workshop on Statistical Machine Translation, 480-489, 2012
Systems and methods for correlating comments and sentiment to policy document sub-sections
B Grom, V Eidelman, D Argyle, J Pinto, M Rios
US Patent 10,796,391, 2020
Systems and methods for mapping to milestones in a policymaking process
C Simpson, D Hok, J Zoshak, A DeStefano, J Pinto, V Eidelman
US Patent 10,672,092, 2020
Systems and methods for altering issue outcomes
V Eidelman, B Grom, D Argyle, J Pinto, J Zoshak
US Patent 10,181,167, 2019
Systems and methods for providing a virtual whipboard
B Grom, D Argyle, J Zoshak, V Eidelman, D Maglasang
US Patent 10,839,470, 2020
Lessons learned in part-of-speech tagging of conversational speech
V Eidelman, Z Huang, M Harper
Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010
Systems and methods for analyzing policymaker alignment with organizational posture
B Palombi, D Argyle, V Eidelman, J Pinto, B Grom
US Patent 10,593,002, 2020
Systems and Methods for Predicting Policy Adoption
B Grom, V Eidelman, D Argyle, J Pinto
US Patent App. 15/494,377, 2017
Argument identification in public comments from eRulemaking
V Eidelman, B Grom
Proceedings of the Seventeenth International Conference on Artificial …, 2019
Systems and methods for predicting policymaker behavior based on unrelated historical data
V Eidelman, B Grom, D Argyle, J Pinto
US Patent App. 15/494,310, 2017
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