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
Vidhisha BalachandranLanguage Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shuly WintnerUniversity of Haifa, Department of Computer ScienceVerified email at cs.haifa.ac.il
Xiaochuang HanUniversity of WashingtonVerified email at cs.washington.edu
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
Chan Young ParkCarnegie Mellon UniversityVerified email at cs.cmu.edu
Graham NeubigCarnegie Mellon UniversityVerified email at cs.cmu.edu
Wang LingGoogle DeepmindVerified email at cs.cmu.edu
David JurgensAssociate Professor, School of Information and Dept. of Computer Science, University of MichiganVerified email at umich.edu
Zirui WangResearch Scientist, Apple AI/MLVerified email at apple.com
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
Yuan CaoGoogle DeepMindVerified 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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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	462	2021
Style transfer through back-translation S Prabhumoye, Y Tsvetkov, R Salakhutdinov, AW Black ACL 2018, 2018	418	2018
Problems with evaluation of word embeddings using word similarity tasks M Faruqui, Y Tsvetkov, P Rastogi, C Dyer RepEval 2016, 2016	345	2016
Measuring bias in contextualized word representations K Kurita, N Vyas, A Pareek, AW Black, Y Tsvetkov arXiv preprint arXiv:1906.07337, 2019	320	2019
Massively multilingual word embeddings W Ammar, G Mulcaire, Y Tsvetkov, G Lample, C Dyer, NA Smith arXiv preprint arXiv:1602.01925, 2016	309	2016
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	282	2019
Metaphor Detection with Cross-Lingual Model Transfer Y Tsvetkov, L Boytsov, A Gershman, E Nyberg, C Dyer ACL 2014, 248--258, 2014	269	2014
Sparse Overcomplete Word Vector Representations M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, NA Smith ACL 2015, 2015	211	2015
Evaluation of Word Vector Representations by Subspace Alignment Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer EMNLP 2015, 2015	182	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	159	2021
Not all contexts are created equal: Better word representations with variable attention W Ling, L Chu-Cheng, Y Tsvetkov, S Amir EMNLP 2015, 2015	155	2015
Morphological inflection generation using character sequence to sequence learning M Faruqui, Y Tsvetkov, G Neubig, C Dyer NAACL 2016, 2015	148	2015
Explaining black box predictions and unveiling data artifacts through influence functions X Han, BC Wallace, Y Tsvetkov arXiv preprint arXiv:2005.06676, 2020	133	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	122	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	109	2019
Can machines learn morality? the delphi experiment L Jiang, JD Hwang, C Bhagavatula, RL Bras, J Liang, J Dodge, ... arXiv preprint arXiv:2110.07574, 2021	108*	2021
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	99	2020
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	91	2016
Cross-Lingual Metaphor Detection Using Common Semantic Features Y Tsvetkov, E Mukomel, A Gershman Meta4NLP, NAACL/HLT 2013, 45, 2013	87	2013
Balancing training for multilingual neural machine translation X Wang, Y Tsvetkov, G Neubig arXiv preprint arXiv:2004.06748, 2020	86	2020

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