I am an assistant professor in the Paul G. Allen School of Computer Science & Engineering, at the University of Washington. I'm also an adjunct professor at the Language Technologies Institute at CMU. I work on Natural Language Processing–a subfield of computer science focusing on computational processing of human languages.
I am particularly interested in hybrid solutions at the intersection of machine learning and theoretical or social linguistics, i.e., solutions that combine interesting learning/modeling methods and insights about human languages or about people speaking these languages.
Much of my research group's work focuses on NLP for social good, multilingual NLP, and language generation. This research is motivated by a unified goal: to extend the capabilities of human language technology beyond individual populations and across language boundaries, thereby enabling NLP for diverse and disadvantaged users, the users that need it most.
Here are my CV and Google Scholar page.
Previously, I was an assistant professor in the Language Technologies Institute, School of Computer Science at Carnegie Mellon University, and before that a postdoc in the Stanford NLP Group. I got my PhD from CMU.
Publications
2022
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching.
Alissa Ostapenko, Shuly Wintner, Melinda Fricke, and Yulia Tsvetkov. Proc. ACL'22. PDF
Controlled Analyses of Social Biases in Wikipedia Bios.
Anjalie Field, Chan Young Park, Kevin Z. Lin, and Yulia Tsvetkov. Proc. TheWebConf'22. PDF
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision.
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, and Yuan Cao. Proc. ICLR'22. PDF
2021
Controlled Text Generation as Continuous Optimization with Multiple Constraints.
Sachin Kumar, Eric Malmi, Aliaksei Severyn, and Yulia Tsvetkov. Proc. NeurIPS'21. PDF
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers.
Dheeraj Rajagopal, Vidhisha Balachandran, Eduard Hovy, and Yulia Tsvetkov. Proc. EMNLP'21. PDF
Evaluating the Morphosyntactic Well-formedness of Generated Texts.
Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, and Yulia Tsvetkov. Proc. EMNLP'21. PDF
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates.
Xiaochuang Han and Yulia Tsvetkov. Proc. Findings of EMNLP'21. PDF
Detecting Community Sensitive Norm Violations in Online Conversations.
Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, and Yulia Tsvetkov. Proc. Findings of EMNLP'21. PDF
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties.
Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, and Graham Neubig. Proc. Findings of EMNLP'21. PDF
Simple and Efficient ways to Improve REALM.
Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, and Niki Parmar. Proc. MRQA'21. PDF
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs.
Monisha Jegadeesan, Sachin Kumar, John Wieting, and Yulia Tsvetkov. Proc. MRL'21. PDF
Improving Span Representation for Domain-adapted Coreference Resolution.
Nupoor Gandhi, Anjalie Field, and Yulia Tsvetkov. Proc. CRAC'21. PDF
A Survey of Race, Racism, and Anti-Racism in NLP.
Anjalie Field, Su Lin Blodgett, Zeerak Waseem and Yulia Tsvetkov. Proc. ACL'21. PDF
Machine Translation into Low-resource Language Varieties.
Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner and Yulia Tsvetkov. Proc. ACL'21. PDF
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation.
Prakhar Gupta, Yulia Tsvetkov, Jeffrey P. Bigham. Proc. Findings of ACL'21. PDF
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics.
Artidoro Pagnoni, Vidhisha Balachandran, and Yulia Tsvetkov. Proc. NAACL'21. PDF
Controlling Dialogue Generation with Semantic Exemplars.
Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, and Amy Pavel. Proc. NAACL'21. PDF
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues.
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, and Yulia Tsvetkov. Proc. ICLR'21. PDF
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. (Spotlight)
Zirui Wang, Yulia Tsvetkov, Orhan Firat, and Yuan Cao. Proc. ICLR'21. PDF
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization.
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, and Yulia Tsvetkov. Proc. EACL'21. PDF
Ranking Transfer Languages with Pragmatically-Motivated Features for Multilingual Sentiment Analysis.
Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, and David R. Mortensen. Proc. EACL'21. PDF
Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia.
Chan Young Park, Xinru Yan, Anjalie Field and Yulia Tsvetkov. Proc. ICWSM'21. PDF
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation.
Lidia Kidane, Sachin Kumar and Yulia Tsvetkov. Proc. AfricaNLP'21. PDF
2020
Unsupervised Discovery of Implicit Gender Bias.
Anjalie Field and Yulia Tsvetkov. Proc. EMNLP'20. PDF
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment.
Zirui Wang, Zachary C. Lipton and Yulia Tsvetkov. Proc. EMNLP'20. PDF
Fortifying Toxic Speech Detectors Against Veiled Toxicity.
Xiaochuang Han and Yulia Tsvetkov. Proc. EMNLP'20. PDF
Automatic Extraction of Rules Governing Morphological Agreement.
Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov and Graham Neubig. Proc. EMNLP'20. PDF
Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues.
Tanmay Parekh, Emily Ahn, Yulia Tsvetkov and Alan W Black. Proc. CoNLL'20. PDF
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification.
Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, and Yulia Tsvetkov. Proc. SemEval'20. PDF
A Computational Analysis of Polarization on Indian and Pakistani Social Media. (Nominated for best paper award)
Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, and Kathleen M. Carley. Proc. SocInfo'20. PDF
A framework for the computational linguistic analysis of dehumanization.
Julia Mendelsohn, Yulia Tsvetkov, and Dan Jurafsky. Frontiers in Artificial Intelligence. PDF
Demoting Racial Bias in Hate Speech Detection.
Mengzhou Xia, Anjalie Field, and Yulia Tsvetkov. Proc. SocialNLP'20. PDF
A Deep Reinforced Model for Cross-Lingual Summarization with Bilingual Semantic Similarity Reward.
Zi-Yi Dou, Sachin Kumar, and Yulia Tsvetkov. Proc. WNGT'20. PDF
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
Xiaochuang Han, Byron C. Wallace and Yulia Tsvetkov. Proc. ACL'20. PDF
Balancing Training for Multilingual Neural Machine Translation
Xinyi Wang, Yulia Tsvetkov and Graham Neubig. Proc. ACL'20. PDF
Stress and Burnout in Open Source: Toward Finding, Understanding, and Mitigating Unhealthy Interactions
Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kästner, and Bogdan Vasilescu. Proc. of International Conference on Software Engineering -- New Ideas Track (ICSE-NIER). PDF
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History
Yiheng Zhou, Yulia Tsvetkov, Alan W Black and Zhou Yu. Proc. ICLR'20. PDF
What Code-Switching Strategies are Effective in Dialog Systems?
Emily Ahn, Cecilia Jimenez, Yulia Tsvetkov and Alan W Black. Proc. SCiL'20. PDF
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David Mortensen and Yulia Tsvetkov. Proc. SCiL'20. PDF
2019
Topics to Avoid: Demoting Latent Confounds in Text Classification
Sachin Kumar, Shuly Wintner, Noah A. Smith, and Yulia Tsvetkov. Proc. EMNLP'19. PDF
Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts
Luke M. Breitfeller, Emily Ahn, David Jurgens, and Yulia Tsvetkov. Proc. EMNLP'19. PDF
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation
Chan Young Park and Yulia Tsvetkov. Proc. WNGT'19. PDF
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation
Gayatri Bhat, Sachin Kumar, and Yulia Tsvetkov. Proc. WNGT'19. PDF
A Dynamic Strategy Coach for Effective Negotiation
Yiheng Zhou, He He, Alan W Black and Yulia Tsvetkov. Proc. SIGdial'19. PDF
Entity-Centric Contextual Affective Analysis
Anjalie Field and Yulia Tsvetkov. Proc. ACL'19. PDF
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology
Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat, David R. Mortensen, Jaime G. Carbonell and Yulia Tsvetkov. Proc. SIGMORPHON'19. PDF (Interpretability Prize)
Quantifying Social Biases in Contextual Word Representations
Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan W Black and Yulia Tsvetkov. Proc. of Workshop on Gender Bias for NLP. PDF
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories
Anjalie Field, Gayatri Bhat and Yulia Tsvetkov. Proc. ICWSM'19. PDF
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings
Thomas Manzini, Yao Chong, Yulia Tsvetkov and Alan W Black. Proc. NAACL'19. PDF
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
Sachin Kumar and Yulia Tsvetkov. Proc. ICLR'19. PDF
2018
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, and Yulia Tsvetkov. Proc. EMNLP'18. PDF
Style Transfer Through Back-Translation
Shrimai Prabhumoye, Yulia Tsvetkov,
Ruslan Salakhutdinov, and Alan W Black. Proc. ACL'18. PDF
Native Language Cognate Effects on Second Language Lexical Choice
Ella Rabinovich, Yulia Tsvetkov, and Shuly Wintner. Proceedings of the Transactions of Association for Computational Linguistics (TACL). 2018. PDF DATA
RtGender: A Corpus for Studying Differential Responses to Gender
Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, and Yulia Tsvetkov. Proc. LREC'18. PDF DATA
2017
Incorporating Dialectal Variability for Socially Equitable Language Identification
David Jurgens, Yulia Tsvetkov and Dan Jurafsky. Proc. ACL'17. PDF CODE
Writer Profiling Without the Writer's Text
David Jurgens, Yulia Tsvetkov and Dan Jurafsky. Proc. SocInfo'17. PDF
2016
Linguistic Knowledge in Data-Driven Natural Language Processing
Yulia Tsvetkov, PhD thesis, September 2016. PDF
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney and Chris Dyer. Proc. ACL'16. PDF
Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov, Manaal Faruqui and Chris Dyer. In RepEval'16. PDF CODE
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi and Chris Dyer. In RepEval'16. PDF
Polyglot Neural Language Models: Case Study in Cross-Lingual Phonetic Representation Learning
Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David Mortensen, Alan W Black, Lori Levin and Chris Dyer. Proc. NAACL'16. PDF
Morphological Inflection Generation Using Character Sequence to Sequence Learning
Manaal Faruqui, Yulia Tsvetkov, Graham Neubig and Chris Dyer. Proc. NAACL'16. PDF
Massively Multilingual Word Embeddings
Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer and Noah A. Smith. arXiv preprint PDF
Cross-Lingual Bridges with Models of Lexical Borrowing.
Yulia Tsvetkov and Chris Dyer. Journal of Artificial Intelligence Research (JAIR). 2016. PDF
2015
Evaluation of Word Vector Representations by Subspace Alignment.
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample and Chris Dyer. In Proc. EMNLP'15. PDF CODE
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention.
Wang Ling, Chu-Cheng Lin, Yulia Tsvetkov, Silvio Amir, Ramón Fernandez Astudillo, Chris Dyer, Alan W Black and Isabel Trancoso. In Proc. EMNLP'15. PDF
Lexicon Stratification for Translating Out-of-Vocabulary Words.
Yulia Tsvetkov and Chris Dyer. In Proc. ACL'15. PDF
Sparse Overcomplete Word Vector Representations.
Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer and Noah Smith. In Proc. ACL'15. PDF
A Bottom Up Approach to Category Mapping and Meaning Change.
Haim Dubossarsky, Yulia Tsvetkov, Chris Dyer and Eitan Grossman. In Proc. NetWordS'15. PDF
Constraint-Based Models of Lexical Borrowing.
Yulia Tsvetkov, Waleed Ammar, and Chris Dyer. In Proc. NAACL'15. PDF
2014
Identification of Multi-word Expressions by Combining Multiple Linguistic Information Sources.
Yulia Tsvetkov and Shuly Wintner. Computational Linguistics, 40(2):449-468, 2014. PDF
Metaphor Detection with Cross-Lingual Model Transfer.
Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg and Chris Dyer. In Proc. ACL'14. PDF CODE DATA
Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation.
Yulia Tsvetkov, Florian Metze and Chris Dyer. In Proc. EACL'14. PDF
Augmenting English Adjective Senses with Supersenses.
Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui and Chris Dyer. In Proc. LREC'14. PDF CODE DATA
Unified Annotation Scheme for the Semantic/Pragmatic Components of Definiteness.
Archna Bhatia, Mandy Simons, Lori Levin, Yulia Tsvetkov, Chris Dyer and Jordan Bender. In Proc. LREC'14. PDF DATA
Automatic Classification of Communicative Functions of Definiteness.
Archna Bhatia, Chu-Cheng Lin, Nathan Schneider, Yulia Tsvetkov, Fatima Talib Al-Raisi, Laleh Roostapour, Jordan Bender, Abhimanu Kumar, Lori Levin, Mandy Simons and Chris Dyer. In Proc. COLING'14. PDF
The CMU Machine Translation Systems at WMT 2014.
Austin Matthews, Waleed Ammar, Archna Bhatia, Weston Feely, Greg Hanneman, Eva Schlinger, Swabha Swayamdipta, Yulia Tsvetkov, Alon Lavie and Chris Dyer. In Proc. WMT'14. PDF
2013
Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options.
Yulia Tsvetkov, Chris Dyer, Lori Levin and Archna Bhatia. In Proc. WMT'13. PDF
The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References.
Waleed Ammar, Victor Chahuneau, Michael Denkowski, Greg Hanneman, Wang Ling, Austin Matthews, Kenton Murray, Nicola Segall, Yulia Tsvetkov, Alon Lavie and Chris Dyer. In Proc. WMT'13. PDF
Identifying the L1 of non-native writers: the CMU-Haifa system.
Yulia Tsvetkov, Naama Twitto, Nathan Schneider, Noam Ordan, Manaal Faruqui, Victor Chahuneau, Shuly Wintner and Chris Dyer. In Proc. the 8th Workshop on Innovative Use of NLP for Building Educational Applications, 2013. PDF
Cross-Lingual Metaphor Detection Using Common Semantic Features.
Yulia Tsvetkov, Elena Mukomel, Anatole Gershman. In Proc. Meta4NLP Workshop, 2013. PDF
Identification and Modeling of Word Fragments in Spontaneous Speech.
Yulia Tsvetkov, Zaid Sheikh, and Florian Metze. In Proc. ICASSP'13. PDF
2012
2011
2010
Extraction of Multi-word Expressions from Small Parallel Corpora.
Yulia Tsvetkov. University of Haifa M.Sc. thesis, September 2010. PDF
Extraction of Multi-word Expressions from Small Parallel Corpora.
Yulia Tsvetkov and Shuly Wintner. In Proc. COLING'10. PDF
Automatic Acquisition of Parallel Corpora from Websites with Dynamic Content.
Yulia Tsvetkov and Shuly Wintner. In Proc. LREC'10. PDF