关注
Veselin Stoyanov
标题
引用次数
引用次数
年份
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
23078*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
88092019
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
51242019
SemEval-2017 task 4: Sentiment analysis in Twitter
S Rosenthal, N Farra, P Nakov
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
17252017
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
13142016
XNLI: Evaluating Cross-lingual Sentence Representations
A Conneau, G Lample, R Rinott, A Williams, SR Bowman, H Schwenk, ...
arXiv preprint arXiv:1809.05053, 2018
11652018
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
4412012
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
B Gunel, J Du, A Conneau, V Stoyanov
arXiv preprint arXiv:2011.01403, 2020
3962020
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
239*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
2062009
Topic identification for fine-grained opinion analysis
V Stoyanov, C Cardie
Proceedings of the 22nd International Conference on Computational …, 2008
1912008
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
1802020
Multi-perspective question answering using the OpQA corpus
V Stoyanov, C Cardie, J Wiebe
Proceedings of Human Language Technology Conference and Conference on …, 2005
1782005
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
1572011
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
1462020
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
1262018
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
1202010
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
1172016
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
1122007
Pretrained encyclopedia: Weakly supervised knowledge-pretrained language model
W Xiong, J Du, W Wang, V Stoyanov
ICLR, 2019
1022019
系统目前无法执行此操作,请稍后再试。
文章 1–20