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ORCIDVladimir Eidelman
Person information
- affiliation: FiscalNote, USA
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Books and Theses
- 2013
[b1]Vladimir Eidelman:
Improved Online Learning and Modeling for Feature-Rich Discriminative Machine Translation. University of Maryland, College Park, MD, USA, 2013
Journal Articles
- 2009
- [j1]Goran Trajkovski, Georgi Stojanov, Samuel G. Collins, Vladimir Eidelman, Chris Harman, Giovanni Vincenti:
Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework. Int. J. Agent Technol. Syst. 1(1): 50-73 (2009)
Conference and Workshop Papers
- 2022
- [c20]Anastassia Kornilova, Vladimir Eidelman, Daniel Douglass:
An Item Response Theory Framework for Persuasion. NAACL-HLT (Findings) 2022: 77-86 - 2019
- [c19]Vlad Eidelman, Brian Grom:
Argument Identification in Public Comments from eRulemaking. ICAIL 2019: 199-203 - 2018
- [c18]Anastassia Kornilova, Daniel Argyle, Vladimir Eidelman:
Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction. ACL (2) 2018: 510-515 - [c17]Vladimir Eidelman, Anastassia Kornilova, Daniel Argyle:
How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level. COLING 2018: 145-160 - 2014
- [c16]Yuening Hu, Ke Zhai, Vladimir Eidelman, Jordan L. Boyd-Graber:
Polylingual Tree-Based Topic Models for Translation Domain Adaptation. ACL (1) 2014: 1166-1176 - 2013
- [c15]Vladimir Eidelman, Ke Wu, Ferhan Türe, Philip Resnik, Jimmy Lin:
Mr. MIRA: Open-Source Large-Margin Structured Learning on MapReduce. ACL (Conference System Demonstrations) 2013: 199-204 - [c14]Vladimir Eidelman, Yuval Marton, Philip Resnik:
Online Relative Margin Maximization for Statistical Machine Translation. ACL (1) 2013: 1116-1126 - [c13]Vladimir Eidelman, Ke Wu, Ferhan Türe, Philip Resnik, Jimmy Lin:
Towards Efficient Large-Scale Feature-Rich Statistical Machine Translation. WMT@ACL 2013: 128-133 - 2012
- [c12]Vladimir Eidelman, Jordan L. Boyd-Graber, Philip Resnik:
Topic Models for Dynamic Translation Model Adaptation. ACL (2) 2012: 115-119 - [c11]Vladimir Eidelman:
Unsupervised Feature-Rich Clustering. COLING (Posters) 2012: 275-286 - [c10]Vladimir Eidelman:
Optimization Strategies for Online Large-Margin Learning in Machine Translation. WMT@NAACL-HLT 2012: 480-489 - 2011
- [c9]Vladimir Eidelman, Kristy Hollingshead, Philip Resnik:
Noisy SMS Machine Translation in Low-Density Languages. WMT@EMNLP 2011: 344-350 - [c8]Chang Hu, Philip Resnik, Yakov Kronrod, Vladimir Eidelman, Olivia Buzek, Benjamin B. Bederson:
The Value of Monolingual Crowdsourcing in a Real-World Translation Scenario: Simulation using Haitian Creole Emergency SMS Messages. WMT@EMNLP 2011: 399-404 - 2010
- [c7]Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonathan Weese, Ferhan Türe, Phil Blunsom, Hendra Setiawan, Vladimir Eidelman, Philip Resnik:
cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models. ACL (System Demonstrations) 2010: 7-12 - [c6]Vladimir Eidelman, Zhongqiang Huang, Mary P. Harper:
Lessons Learned in Part-of-Speech Tagging of Conversational Speech. EMNLP 2010: 821-831 - [c5]Vladimir Eidelman, Chris Dyer, Philip Resnik:
The University of Maryland Statistical Machine Translation System for the Fifth Workshop on Machine Translation. WMT@ACL 2010: 72-76 - 2009
- [c4]Zhongqiang Huang, Vladimir Eidelman, Mary P. Harper:
Improving A Simple Bigram HMM Part-of-Speech Tagger by Latent Annotation and Self-Training. HLT-NAACL (Short Papers) 2009: 213-216 - 2008
- [c3]Yannick Versley, Simone Paolo Ponzetto, Massimo Poesio, Vladimir Eidelman, Alan Jern, Jason Smith, Xiaofeng Yang, Alessandro Moschitti:
BART: A Modular Toolkit for Coreference Resolution. ACL (Demo Papers) 2008: 9-12 - [c2]Vladimir Eidelman:
Inferring Activity Time in News through Event Modeling. ACL (Student Research Workshop) 2008: 13-18 - [c1]Yannick Versley, Simone Paolo Ponzetto, Massimo Poesio, Vladimir Eidelman, Alan Jern, Jason Smith, Xiaofeng Yang, Alessandro Moschitti:
BART: A modular toolkit for coreference resolution. LREC 2008
Informal and Other Publications
- 2022
- [i5]Anastassia Kornilova, Daniel Argyle, Vladimir Eidelman:
An Item Response Theory Framework for Persuasion. CoRR abs/2204.11337 (2022) - 2019
- [i4]Vlad Eidelman, Brian Grom:
Argument Identification in Public Comments from eRulemaking. CoRR abs/1905.00572 (2019) - [i3]Anastassia Kornilova, Vlad Eidelman:
BillSum: A Corpus for Automatic Summarization of US Legislation. CoRR abs/1910.00523 (2019) - 2018
- [i2]Anastassia Kornilova, Daniel Argyle, Vlad Eidelman:
Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction. CoRR abs/1805.08182 (2018) - [i1]Vlad Eidelman, Anastassia Kornilova, Daniel Argyle:
How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level. CoRR abs/1806.05284 (2018)
Coauthor Index
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