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ORCIDYulia Tsvetkov
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- affiliation: University of Washington, Paul G. Allen School of Computer Science and Engineering, USA
- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2023
[c89]Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov:
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. ACL (1) 2023: 2116-2138- [c88]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov:
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. ACL (1) 2023: 11575-11596 - [c87]Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov:
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. ACL (1) 2023: 11737-11762 - [c86]Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov:
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. ACL (1) 2023: 12067-12097 - [c85]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. ACL (1) 2023: 12660-12673 - [c84]Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov:
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. ACL (1) 2023: 13960-13980 - [c83]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) 2023: 1077-1089 - [c82]Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov:
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. EACL 2023: 3291-3313 - [c81]Anjalie Field
, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov:
Examining risks of racial biases in NLP tools for child protective services. FAccT 2023: 1479-1492 - [c80]Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith:
LEXPLAIN: Improving Model Explanations via Lexicon Supervision. *SEM@ACL 2023: 207-216 - [i82]Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. CoRR abs/2302.00381 (2023) - [i81]Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, M. R. Leiser, Saif Mohammad:
Assessing Language Model Deployment with Risk Cards. CoRR abs/2303.18190 (2023) - [i80]Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov:
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. CoRR abs/2305.08281 (2023) - [i79]Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov:
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. CoRR abs/2305.08283 (2023) - [i78]Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR abs/2305.09955 (2023) - [i77]Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov:
Can Language Models Solve Graph Problems in Natural Language? CoRR abs/2305.10037 (2023) - [i76]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. CoRR abs/2305.13707 (2023) - [i75]Lucille Njoo, Chan Young Park, Octavia Stappart, Marvin Thielk, Yi Chu, Yulia Tsvetkov:
TalkUp: A Novel Dataset Paving the Way for Understanding Empowering Language. CoRR abs/2305.14326 (2023) - [i74]Yueqi Song, Catherine Cui, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig:
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. CoRR abs/2305.14716 (2023) - [i73]Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih:
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. CoRR abs/2305.14739 (2023) - [i72]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad:
SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models. CoRR abs/2305.14771 (2023) - [i71]Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi:
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. CoRR abs/2305.14857 (2023) - [i70]Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov:
Examining risks of racial biases in NLP tools for child protective services. CoRR abs/2305.19409 (2023) - [i69]Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov:
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. CoRR abs/2306.00924 (2023) - [i68]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. CoRR abs/2306.15091 (2023) - 2022
- [c79]Alissa Ostapenko, Shuly Wintner, Melinda Fricke, Yulia Tsvetkov:
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching. ACL (1) 2022: 3853-3867 - [c78]Artidoro Pagnoni, Martin Graciarena, Yulia Tsvetkov:
Threat Scenarios and Best Practices to Detect Neural Fake News. COLING 2022: 1233-1249 - [c77]Inna W. Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov:
Gendered Mental Health Stigma in Masked Language Models. EMNLP 2022: 2152-2170 - [c76]Sachin Kumar, Biswajit Paria, Yulia Tsvetkov:
Gradient-based Constrained Sampling from Language Models. EMNLP 2022: 2251-2277 - [c75]Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov:
Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media. EMNLP (Findings) 2022: 5209-5235 - [c74]Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi:
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. EMNLP 2022: 9649-9668 - [c73]Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov:
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. EMNLP 2022: 9818-9830 - [c72]Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao:
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. ICLR 2022 - [c71]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c70]Anjalie Field, Chan Young Park, Kevin Z. Lin, Yulia Tsvetkov:
Controlled Analyses of Social Biases in Wikipedia Bios. WWW 2022: 2624-2635 - [i67]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR abs/2203.07640 (2022) - [i66]Alissa Ostapenko, Shuly Wintner, Melinda Fricke, Yulia Tsvetkov:
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching. CoRR abs/2203.08979 (2022) - [i65]Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov:
VoynaSlov: A Data Set of Russian Social Media Activity during the 2022 Ukraine-Russia War. CoRR abs/2205.12382 (2022) - [i64]Sachin Kumar, Biswajit Paria, Yulia Tsvetkov:
Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces. CoRR abs/2205.12558 (2022) - [i63]Xiaochuang Han, Yulia Tsvetkov:
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data. CoRR abs/2205.12600 (2022) - [i62]Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov:
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. CoRR abs/2210.04105 (2022) - [i61]Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov:
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. CoRR abs/2210.07700 (2022) - [i60]Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov:
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. CoRR abs/2210.12378 (2022) - [i59]Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi:
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. CoRR abs/2210.13800 (2022) - [i58]Inna Wanyin Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov:
Gendered Mental Health Stigma in Masked Language Models. CoRR abs/2210.15144 (2022) - [i57]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov:
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. CoRR abs/2210.17432 (2022) - [i56]Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov:
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. CoRR abs/2212.10020 (2022) - [i55]Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer:
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? CoRR abs/2212.10539 (2022) - 2021
- [c69]Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov:
Machine Translation into Low-resource Language Varieties. ACL/IJCNLP (2) 2021: 110-121 - [c68]Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov:
A Survey of Race, Racism, and Anti-Racism in NLP. ACL/IJCNLP (1) 2021: 1905-1925 - [c67]Prakhar Gupta, Yulia Tsvetkov, Jeffrey P. Bigham:
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation. ACL/IJCNLP (Findings) 2021: 3867-3883 - [c66]Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen:
Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks. EACL 2021: 2403-2414 - [c65]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Summarization via Structured Representations. EACL 2021: 2575-2585 - [c64]Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig:
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. EMNLP (Findings) 2021: 730-737 - [c63]Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov:
SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. EMNLP (1) 2021: 836-850 - [c62]Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, Yulia Tsvetkov:
Detecting Community Sensitive Norm Violations in Online Conversations. EMNLP (Findings) 2021: 3386-3397 - [c61]Xiaochuang Han, Yulia Tsvetkov:
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. EMNLP (Findings) 2021: 4398-4409 - [c60]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. EMNLP (1) 2021: 7131-7150 - [c59]Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov:
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. ICLR 2021 - [c58]Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao:
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. ICLR 2021 - [c57]Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov:
Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia. ICWSM 2021: 479-490 - [c56]Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, Amy Pavel:
Controlling Dialogue Generation with Semantic Exemplars. NAACL-HLT 2021: 3018-3029 - [c55]Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov:
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. NAACL-HLT 2021: 4812-4829 - [c54]Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov:
Controlled Text Generation as Continuous Optimization with Multiple Constraints. NeurIPS 2021: 14542-14554 - [i54]Anjalie Field, Chan Young Park, Yulia Tsvetkov:
Controlled Analyses of Social Biases in Wikipedia Bios. CoRR abs/2101.00078 (2021) - [i53]Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov:
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers. CoRR abs/2103.12279 (2021) - [i52]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. CoRR abs/2103.16590 (2021) - [i51]Lidia Kidane, Sachin Kumar, Yulia Tsvetkov:
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation. AfricaNLP 2021 - [i50]Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar:
Simple and Efficient ways to Improve REALM. CoRR abs/2104.08710 (2021) - [i49]Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov:
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. CoRR abs/2104.13346 (2021) - [i48]Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov:
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. CoRR abs/2106.00920 (2021) - [i47]Prakhar Gupta, Yulia Tsvetkov, Jeffrey P. Bigham:
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation. CoRR abs/2106.05894 (2021) - [i46]Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov:
Machine Translation into Low-resource Language Varieties. CoRR abs/2106.06797 (2021) - [i45]Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov:
A Survey of Race, Racism, and Anti-Racism in NLP. CoRR abs/2106.11410 (2021) - [i44]Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov:
Controlled Text Generation as Continuous Optimization with Multiple Constraints. CoRR abs/2108.01850 (2021) - [i43]Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao:
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. CoRR abs/2108.10904 (2021) - [i42]Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig:
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. CoRR abs/2109.04877 (2021) - [i41]Nupoor Gandhi, Anjalie Field, Yulia Tsvetkov:
Improving Span Representation for Domain-adapted Coreference Resolution. CoRR abs/2109.09811 (2021) - [i40]Xiaochuang Han, Yulia Tsvetkov:
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. CoRR abs/2110.03212 (2021) - [i39]Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, Yulia Tsvetkov:
Detecting Community Sensitive Norm Violations in Online Conversations. CoRR abs/2110.04419 (2021) - [i38]Monisha Jegadeesan, Sachin Kumar, John Wieting, Yulia Tsvetkov:
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs. CoRR abs/2110.13231 (2021) - 2020
- [j5]Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky:
A Framework for the Computational Linguistic Analysis of Dehumanization. Frontiers Artif. Intell. 3: 55 (2020) - [c53]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. ACL 2020: 5553-5563 - [c52]Xinyi Wang, Yulia Tsvetkov, Graham Neubig:
Balancing Training for Multilingual Neural Machine Translation. ACL 2020: 8526-8537 - [c51]Mengzhou Xia, Anjalie Field, Yulia Tsvetkov:
Demoting Racial Bias in Hate Speech Detection. SocialNLP@ACL 2020: 7-14 - [c50]Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov:
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards. NGT@ACL 2020: 60-68 - [c49]Tanmay Parekh, Emily Ahn, Yulia Tsvetkov, Alan W. Black:
Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues. CoNLL 2020: 565-577 - [c48]Anjalie Field, Yulia Tsvetkov:
Unsupervised Discovery of Implicit Gender Bias. EMNLP (1) 2020: 596-608 - [c47]Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov:
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment. EMNLP (1) 2020: 4438-4450 - [c46]Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig:
Automatic Extraction of Rules Governing Morphological Agreement. EMNLP (1) 2020: 5212-5236 - [c45]Xiaochuang Han, Yulia Tsvetkov:
Fortifying Toxic Speech Detectors Against Veiled Toxicity. EMNLP (1) 2020: 7732-7739 - [c44]Sachin Kumar, Yulia Tsvetkov:
End-to-End Differentiable GANs for Text Generation. ICBINB@NeurIPS 2020: 118-128 - [c43]Yiheng Zhou, Yulia Tsvetkov, Alan W. Black, Zhou Yu:
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History. ICLR 2020 - [c42]Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kästner, Bogdan Vasilescu:
Stress and burnout in open source: toward finding, understanding, and mitigating unhealthy interactions. ICSE (NIER) 2020: 57-60 - [c41]Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov:
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. SemEval@COLING 2020: 1756-1763 - [c40]Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, Kathleen M. Carley:
A Computational Analysis of Polarization on Indian and Pakistani Social Media. SocInfo 2020: 364-379 - [i37]Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov:
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. CoRR abs/2001.07740 (2020) - [i36]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR abs/2003.00576 (2020) - [i35]Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky:
A Framework for the Computational Linguistic Analysis of Dehumanization. CoRR abs/2003.03014 (2020) - [i34]Xinyi Wang, Yulia Tsvetkov, Graham Neubig:
Balancing Training for Multilingual Neural Machine Translation. CoRR abs/2004.06748 (2020) - [i33]Anjalie Field, Yulia Tsvetkov:
Unsupervised Discovery of Implicit Gender Bias. CoRR abs/2004.08361 (2020) - [i32]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. CoRR abs/2005.06676 (2020) - [i31]Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, Kathleen M. Carley:
A Computational Analysis of Polarization on Indian and Pakistani Social Media. CoRR abs/2005.09803 (2020) - [i30]Mengzhou Xia, Anjalie Field, Yulia Tsvetkov:
Demoting Racial Bias in Hate Speech Detection. CoRR abs/2005.12246 (2020) - [i29]Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen:
Ranking Transfer Languages with Pragmatically-Motivated Features for Multilingual Sentiment Analysis. CoRR abs/2006.09336 (2020) - [i28]Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov:
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards. CoRR abs/2006.15454 (2020) - [i27]Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov:
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. CoRR abs/2008.04820 (2020) - [i26]Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, Amy Pavel:
Controlling Dialogue Generation with Semantic Exemplars. CoRR abs/2008.09075 (2020) - [i25]Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig:
Automatic Extraction of Rules Governing Morphological Agreement. CoRR abs/2010.01160 (2020) - [i24]Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov:
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment. CoRR abs/2010.03017 (2020) - [i23]Xiaochuang Han, Yulia Tsvetkov:
Fortifying Toxic Speech Detectors Against Veiled Toxicity. CoRR abs/2010.03154 (2020) - [i22]Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao:
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. CoRR abs/2010.05874 (2020) - [i21]Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov:
Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia. CoRR abs/2010.10820 (2020)
2010 – 2019
- 2019
- [c39]Anjalie Field, Yulia Tsvetkov:
Entity-Centric Contextual Affective Analysis. ACL (1) 2019: 2550-2560 - [c38]Gayatri Bhat, Sachin Kumar, Yulia Tsvetkov:
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation. NGT@EMNLP-IJCNLP 2019: 199-205 - [c37]Chan Young Park, Yulia Tsvetkov:
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation. NGT@EMNLP-IJCNLP 2019: 241-248 - [c36]Luke Breitfeller, Emily Ahn, David Jurgens, Yulia Tsvetkov:
Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts. EMNLP/IJCNLP (1) 2019: 1664-1674 - [c35]Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov:
Topics to Avoid: Demoting Latent Confounds in Text Classification. EMNLP/IJCNLP (1) 2019: 4151-4161 - [c34]Sachin Kumar, Yulia Tsvetkov:
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs. ICLR (Poster) 2019 - [c33]Anjalie Field, Gayatri Bhat, Yulia Tsvetkov:
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories. ICWSM 2019: 158-169 - [c32]