Veselin Stoyanov
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RoBERTa: A Robustly Optimized BERT Pretraining Approach
Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, ...
arXiv preprint arXiv:1907.11692, 2019
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
M Lewis, Y Liu, N Goyal, M Ghazvininejad, A Mohamed, O Levy, ...
arXiv preprint arXiv:1910.13461, 2019
Unsupervised Cross-lingual Representation Learning at Scale
A Conneau, K Khandelwal, N Goyal, V Chaudhary, G Wenzek, F Guzmán, ...
arXiv preprint arXiv:1911.02116, 2019
SemEval-2017 task 4: Sentiment analysis in Twitter
S Rosenthal, N Farra, P Nakov
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
SemEval-2016 task 4: Sentiment analysis in Twitter
P Nakov, A Ritter, S Rosenthal, F Sebastiani, V Stoyanov
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
XNLI: Evaluating Cross-lingual Sentence Representations
A Conneau, G Lample, R Rinott, A Williams, SR Bowman, H Schwenk, ...
arXiv preprint arXiv:1809.05053, 2018
System and method for automatically summarizing fine-grained opinions in digital text
C Cardie, V Stoyanov, Y Choi, E Breck
US Patent 8,280,885, 2012
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
B Gunel, J Du, A Conneau, V Stoyanov
arXiv preprint arXiv:2011.01403, 2020
Emerging Cross-lingual Structure in Pretrained Language Models
A Conneau, S Wu, H Li, L Zettlemoyer, V Stoyanov
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
Conundrums in noun phrase coreference resolution: Making sense of the state-of-the-art
V Stoyanov, N Gilbert, C Cardie, E Riloff
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art
P Lewis, M Ott, J Du, V Stoyanov
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 146-157, 2020
Topic identification for fine-grained opinion analysis
V Stoyanov, C Cardie
Proceedings of the 22nd International Conference on Computational …, 2008
Multi-perspective question answering using the OpQA corpus
V Stoyanov, C Cardie, J Wiebe
Proceedings of Human Language Technology Conference and Conference on …, 2005
Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure
V Stoyanov, A Ropson, J Eisner
Proceedings of the Fourteenth International Conference on Artificial …, 2011
Self-training improves pre-training for natural language understanding
J Du, E Grave, B Gunel, V Chaudhary, O Celebi, M Auli, V Stoyanov, ...
arXiv preprint arXiv:2010.02194, 2020
A multi-lingual multi-task architecture for low-resource sequence labeling
Y Lin, S Yang, V Stoyanov, H Ji
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Coreference resolution with reconcile
V Stoyanov, C Cardie, N Gilbert, E Riloff, D Buttler, D Hysom
Proceedings of the ACL 2010 Conference Short Papers, 156-161, 2010
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts
P Nakov, S Rosenthal, S Kiritchenko, SM Mohammad, Z Kozareva, ...
Language Resources and Evaluation 50, 35-65, 2016
QA with Attitude: Exploiting Opinion Type Analysis for Improving Question Answering in On-line Discussions and the News.
S Somasundaran, T Wilson, J Wiebe, V Stoyanov
ICWSM, 2007
Efficient Large Scale Language Modeling with Mixtures of Experts
M Artetxe, S Bhosale, N Goyal, T Mihaylov, M Ott, S Shleifer, XV Lin, J Du, ...
arXiv preprint arXiv:2112.10684, 2021
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