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
Vidhisha BalachandranLanguage Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Xiaochuang HanUniversity of WashingtonVerified email at cs.washington.edu
Shuly WintnerUniversity of Haifa, Department of Computer ScienceVerified email at cs.haifa.ac.il
Chan Young ParkCarnegie Mellon UniversityVerified email at cs.cmu.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
Graham NeubigCarnegie Mellon UniversityVerified email at cs.cmu.edu
Zirui WangResearch Scientist, Apple AI/MLVerified email at apple.com
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
David MortensenCarnegie Mellon UniversityVerified email at cs.cmu.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Waleed AmmarGoogleVerified email at google.com
Guillaume LampleResearch Scientist, Facebook AI ResearchVerified email at fb.com
Shangbin FengUniversity of WashingtonVerified email at cs.washington.edu
Yuan CaoGoogle DeepMindVerified email at google.com

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	530	2021
Style transfer through back-translation S Prabhumoye, Y Tsvetkov, R Salakhutdinov, AW Black ACL 2018, 2018	432	2018
Problems with evaluation of word embeddings using word similarity tasks M Faruqui, Y Tsvetkov, P Rastogi, C Dyer RepEval 2016, 2016	352	2016
Measuring bias in contextualized word representations K Kurita, N Vyas, A Pareek, AW Black, Y Tsvetkov arXiv preprint arXiv:1906.07337, 2019	340	2019
Massively multilingual word embeddings W Ammar, G Mulcaire, Y Tsvetkov, G Lample, C Dyer, NA Smith arXiv preprint arXiv:1602.01925, 2016	314	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	289	2019
Metaphor Detection with Cross-Lingual Model Transfer Y Tsvetkov, L Boytsov, A Gershman, E Nyberg, C Dyer ACL 2014, 248--258, 2014	275	2014
Sparse Overcomplete Word Vector Representations M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, NA Smith ACL 2015, 2015	216	2015
Evaluation of Word Vector Representations by Subspace Alignment Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer EMNLP 2015, 2015	187	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	179	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	158	2015
Morphological inflection generation using character sequence to sequence learning M Faruqui, Y Tsvetkov, G Neubig, C Dyer NAACL 2016, 2015	151	2015
Explaining black box predictions and unveiling data artifacts through influence functions X Han, BC Wallace, Y Tsvetkov arXiv preprint arXiv:2005.06676, 2020	143	2020
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	125*	2021
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	124	2018
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	116	2020
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	116	2019
On negative interference in multilingual models: Findings and a meta-learning treatment Z Wang, ZC Lipton, Y Tsvetkov arXiv preprint arXiv:2010.03017, 2020	93	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	92	2016
Cross-Lingual Metaphor Detection Using Common Semantic Features Y Tsvetkov, E Mukomel, A Gershman Meta4NLP, NAACL/HLT 2013, 45, 2013	90	2013

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