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
Anjalie FieldPostdoc, Stanford UniversityVerified email at stanford.edu
Sachin KumarCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Shuly WintnerUniversity of Haifa, Department of Computer ScienceVerified email at cs.haifa.ac.il
Vidhisha BalachandranLanguage Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Xiaochuang HanUniversity of WashingtonVerified email at cs.washington.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Graham NeubigCarnegie Mellon University, Inspired CognitionVerified email at cs.cmu.edu
Wang LingGoogle DeepmindVerified email at cs.cmu.edu
Chan Young ParkCarnegie 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
Waleed AmmarGoogleVerified email at google.com
Guillaume LampleResearch Scientist, Facebook AI ResearchVerified email at fb.com
Zirui WangResearch Scientist, Google BrainVerified email at google.com
Yuan CaoGoogle BrainVerified email at google.com
Artidoro PagnoniUniversity of WashingtonVerified email at cs.washington.edu

Yulia Tsvetkov

University of Washington

Verified email at cs.washington.edu - Homepage

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Style transfer through back-translation S Prabhumoye, Y Tsvetkov, R Salakhutdinov, AW Black ACL 2018, 2018	396	2018
Simvlm: Simple visual language model pretraining with weak supervision Z Wang, J Yu, AW Yu, Z Dai, Y Tsvetkov, Y Cao arXiv preprint arXiv:2108.10904, 2021	359	2021
Problems with evaluation of word embeddings using word similarity tasks M Faruqui, Y Tsvetkov, P Rastogi, C Dyer RepEval 2016, 2016	331	2016
Massively multilingual word embeddings W Ammar, G Mulcaire, Y Tsvetkov, G Lample, C Dyer, NA Smith arXiv preprint arXiv:1602.01925, 2016	305	2016
Measuring bias in contextualized word representations K Kurita, N Vyas, A Pareek, AW Black, Y Tsvetkov arXiv preprint arXiv:1906.07337, 2019	283	2019
Metaphor Detection with Cross-Lingual Model Transfer Y Tsvetkov, L Boytsov, A Gershman, E Nyberg, C Dyer ACL 2014, 248--258, 2014	253	2014
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	250	2019
Sparse Overcomplete Word Vector Representations M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, NA Smith ACL 2015, 2015	201	2015
Evaluation of Word Vector Representations by Subspace Alignment Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer EMNLP 2015, 2015	176	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	151	2015
Morphological inflection generation using character sequence to sequence learning M Faruqui, Y Tsvetkov, G Neubig, C Dyer NAACL 2016, 2015	148	2015
Understanding factuality in abstractive summarization with FRANK: A benchmark for factuality metrics A Pagnoni, V Balachandran, Y Tsvetkov arXiv preprint arXiv:2104.13346, 2021	133	2021
Explaining black box predictions and unveiling data artifacts through influence functions X Han, BC Wallace, Y Tsvetkov arXiv preprint arXiv:2005.06676, 2020	116	2020
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	114	2018
Finding microaggressions in the wild: A case for locating elusive phenomena in social media posts L Breitfeller, E Ahn, D Jurgens, Y Tsvetkov Proceedings of the 2019 conference on empirical methods in natural language …, 2019	91	2019
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	90	2016
Can machines learn morality? The Delphi experiment L Jiang, JD Hwang, C Bhagavatula, R Le Bras, J Liang, J Dodge, ... arXiv e-prints, arXiv: 2110.07574, 2021	88*	2021
Cross-Lingual Metaphor Detection Using Common Semantic Features Y Tsvetkov, E Mukomel, A Gershman Meta4NLP, NAACL/HLT 2013, 45, 2013	85	2013
Balancing training for multilingual neural machine translation X Wang, Y Tsvetkov, G Neubig arXiv preprint arXiv:2004.06748, 2020	84	2020
Gradient vaccine: Investigating and improving multi-task optimization in massively multilingual models Z Wang, Y Tsvetkov, O Firat, Y Cao arXiv preprint arXiv:2010.05874, 2020	79	2020

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