Aliaksei Severyn
Cited by
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Learning to rank short text pairs with convolutional deep neural networks
A Severyn, A Moschitti
Proceedings of the 38th international ACM SIGIR conference on research and …, 2015
Twitter sentiment analysis with deep convolutional neural networks
A Severyn, A Moschitti
Proceedings of the 38th international ACM SIGIR conference on research and …, 2015
Globally normalized transition-based neural networks
D Andor, C Alberti, D Weiss, A Severyn, A Presta, K Ganchev, S Petrov, ...
ACL, 2016
Neural ranking models with weak supervision
M Dehghani, H Zamani, A Severyn, J Kamps, WB Croft
Proceedings of the 40th international ACM SIGIR conference on research and …, 2017
Leveraging pre-trained checkpoints for sequence generation tasks
S Rothe, S Narayan, A Severyn
ACL, 2019
UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification
A Severyn, A Moschitti
Semeval, 2015
A Hybrid Convolutional Variational Autoencoder for Text Generation
S Semeniuta, A Severyn, E Barth
EMNLP, 2017
Recurrent dropout without memory loss
S Semeniuta, A Severyn, E Barth
COLING, 2016
Automatic Feature Engineering for Answer Selection and Extraction
A Severyn, A Moschitti
EMNLP, 2013
Encode, Tag, Realize: High-Precision Text Editing
E Malmi, S Krause, S Rothe, D Mirylenka, A Severyn
EMNLP, 2019
Leveraging large amounts of weakly supervised data for multi-language sentiment classification
J Deriu, A Lucchi, V De Luca, A Severyn, S Müller, M Cieliebak, ...
Proceedings of the 26th international conference on world wide web, 1045-1052, 2017
Structural relationships for large-scale learning of answer re-ranking
A Severyn, A Moschitti
Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012
Multi-lingual opinion mining on YouTube
A Severyn, A Moschitti, O Uryupina, B Plank, K Filippova
Information Processing & Management 52 (1), 46-60, 2016
On accurate evaluation of gans for language generation
S Semeniuta, A Severyn, S Gelly
arXiv preprint arXiv:1806.04936, 2018
SenTube: a corpus for sentiment analysis on YouTube social media
O Uryupina, B Plank, A Severyn, A Rotondi, A Moschitti
LREC, 2014
Unsupervised text style transfer with padded masked language models
E Malmi, A Severyn, S Rothe
arXiv preprint arXiv:2010.01054, 2020
Learning semantic textual similarity with structural representations
A Severyn, M Nicosia, A Moschitti
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
Learning to learn from weak supervision by full supervision
M Dehghani, A Severyn, S Rothe, J Kamps
arXiv preprint arXiv:1711.11383, 2017
A simple recipe for multilingual grammatical error correction
S Rothe, J Mallinson, E Malmi, S Krause, A Severyn
arXiv preprint arXiv:2106.03830, 2021
Eval all, trust a few, do wrong to none: Comparing sentence generation models
O Cífka, A Severyn, E Alfonseca, K Filippova
arXiv preprint arXiv:1804.07972, 2018
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