Yulia Tsvetkov

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	All	Since 2016
Citations	2429	2228
h-index	24	22
i10-index	36	33

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Co-authors

Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Manaal FaruquiResearch Scientist, GoogleVerified email at google.com
Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shuly WintnerUniversity of Haifa, Department of Computer ScienceVerified email at cs.haifa.ac.il
Wang LingGoogle DeepmindVerified email at cs.cmu.edu
Waleed AmmarGoogleVerified email at allenai.org
Anjalie FieldGraduate Student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
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
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Archna BhatiaInstitute for Human and Machine CognitionVerified email at ihmc.us
David JurgensAssistant Professor in the School of Information, University of MichiganVerified email at umich.edu
David MortensenCarnegie Mellon UniversityVerified email at cs.cmu.edu
Lori LevinResearch Professor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Anatole GershmanDistinguished Career Professor, LTI, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shrimai PrabhumoyeCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Chu-Cheng LinJohns Hopkins UniversityVerified email at jhu.edu
Isabel TrancosoINESC-ID / IST / University of LisbonVerified email at inesc-id.pt

Yulia Tsvetkov

Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Natural Language Processing


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Massively multilingual word embeddings W Ammar, G Mulcaire, Y Tsvetkov, G Lample, C Dyer, NA Smith arXiv preprint arXiv:1602.01925, 2016	236	2016
Problems with evaluation of word embeddings using word similarity tasks M Faruqui, Y Tsvetkov, P Rastogi, C Dyer RepEval 2016, 2016	235	2016
Style transfer through back-translation S Prabhumoye, Y Tsvetkov, R Salakhutdinov, AW Black ACL 2018, 2018	218	2018
Metaphor Detection with Cross-Lingual Model Transfer Y Tsvetkov, L Boytsov, A Gershman, E Nyberg, C Dyer ACL 2014, 248--258, 2014	176	2014
Sparse Overcomplete Word Vector Representations M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, NA Smith ACL 2015, 2015	147	2015
Evaluation of Word Vector Representations by Subspace Alignment Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer EMNLP 2015, 2015	145	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	126	2015
Morphological inflection generation using character sequence to sequence learning M Faruqui, Y Tsvetkov, G Neubig, C Dyer NAACL 2016, 2015	117	2015
Identification of multi-word expressions by combining multiple linguistic information sources Y Tsvetkov, S Wintner EMNLP 2011, Computational Linguistics 2013, 2011	67	2011
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	63	2019
Extraction of multi-word expressions from small parallel corpora Y Tsvetkov, S Wintner COLING 2010 - Proceedings of the 23rd International Conference on …, 2010	63	2010
Cross-Lingual Metaphor Detection Using Common Semantic Features Y Tsvetkov, E Mukomel, A Gershman Meta4NLP, NAACL/HLT 2013, 45, 2013	59	2013
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	58	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	47	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	46	2017
Measuring bias in contextualized word representations K Kurita, N Vyas, A Pareek, AW Black, Y Tsvetkov arXiv preprint arXiv:1906.07337, 2019	45	2019
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	43	2018
A bottom up approach to category mapping and meaning change. H Dubossarsky, Y Tsvetkov, C Dyer, E Grossman NetWordS, 66-70, 2015	41	2015
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs S Kumar, Y Tsvetkov ICLR 2019, 2019	34	2019
Augmenting English adjective senses with supersenses Y Tsvetkov, N Schneider, D Hovy, A Bhatia, M Faruqui, C Dyer LREC'14, 2014	33	2014

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