Yulia Tsvetkov

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Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Manaal FaruquiResearch Scientist, GoogleVerified email at google.com
Shuly WintnerUniversity of Haifa, Department of Computer ScienceVerified email at cs.haifa.ac.il
Anjalie FieldGraduate Student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Wang LingGoogle DeepmindVerified email at cs.cmu.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Waleed AmmarGoogleVerified email at google.com
Guillaume LampleResearch Scientist, Facebook AI ResearchVerified email at fb.com
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Sachin KumarCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
David JurgensAssistant Professor in the School of Information, University of MichiganVerified email at umich.edu
David MortensenCarnegie Mellon UniversityVerified email at cs.cmu.edu
Archna BhatiaInstitute for Human and Machine CognitionVerified email at ihmc.us
Shrimai PrabhumoyeCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Lori LevinResearch Professor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Anatole GershmanDistinguished Career Professor, LTI, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Vidhisha BalachandranLanguage Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Yulia Tsvetkov

University of Washington

Verified email at cs.washington.edu - Homepage

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Style transfer through back-translation S Prabhumoye, Y Tsvetkov, R Salakhutdinov, AW Black ACL 2018, 2018	273	2018
Problems with evaluation of word embeddings using word similarity tasks M Faruqui, Y Tsvetkov, P Rastogi, C Dyer RepEval 2016, 2016	269	2016
Massively multilingual word embeddings W Ammar, G Mulcaire, Y Tsvetkov, G Lample, C Dyer, NA Smith arXiv preprint arXiv:1602.01925, 2016	254	2016
Metaphor Detection with Cross-Lingual Model Transfer Y Tsvetkov, L Boytsov, A Gershman, E Nyberg, C Dyer ACL 2014, 248--258, 2014	195	2014
Sparse Overcomplete Word Vector Representations M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, NA Smith ACL 2015, 2015	159	2015
Evaluation of Word Vector Representations by Subspace Alignment Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer EMNLP 2015, 2015	156	2015
Not all contexts are created equal: Better word representations with variable attention W Ling, L Chu-Cheng, Y Tsvetkov, S Amir EMNLP 2015, 2015	134	2015
Morphological inflection generation using character sequence to sequence learning M Faruqui, Y Tsvetkov, G Neubig, C Dyer NAACL 2016, 2015	132	2015
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings T Manzini, YC Lim, Y Tsvetkov, AW Black NAACL 2019, 2019	112	2019
Measuring bias in contextualized word representations K Kurita, N Vyas, A Pareek, AW Black, Y Tsvetkov arXiv preprint arXiv:1906.07337, 2019	109	2019
Identification of multi-word expressions by combining multiple linguistic information sources Y Tsvetkov, S Wintner EMNLP 2011, Computational Linguistics 2013, 2011	70	2011
Extraction of multi-word expressions from small parallel corpora Y Tsvetkov, S Wintner COLING 2010 - Proceedings of the 23rd International Conference on …, 2010	67	2010
Cross-Lingual Metaphor Detection Using Common Semantic Features Y Tsvetkov, E Mukomel, A Gershman Meta4NLP, NAACL/HLT 2013, 45, 2013	66	2013
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies A Field, D Kliger, S Wintner, J Pan, D Jurafsky, Y Tsvetkov EMNLP 2018, 2018	61	2018
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning Y Tsvetkov, S Sitaram, M Faruqui, G Lample, P Littell, D Mortensen, ... NAACL 2016, 2016	59	2016
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Y Tsvetkov, M Faruqui, W Ling, B MacWhinney, C Dyer ACL 2016, 2016	59	2016
Incorporating dialectal variability for socially equitable language identification D Jurgens, Y Tsvetkov, D Jurafsky Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017	53	2017
A bottom up approach to category mapping and meaning change. H Dubossarsky, Y Tsvetkov, C Dyer, E Grossman NetWordS, 66-70, 2015	51	2015
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs S Kumar, Y Tsvetkov ICLR 2019, 2019	44	2019
RtGender: A corpus for studying differential responses to gender R Voigt, D Jurgens, V Prabhakaran, D Jurafsky, Y Tsvetkov Proceedings of the Eleventh International Conference on Language Resources …, 2018	35	2018

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