Aliaksei Severyn

Orcid: 0009-0003-2954-4167

According to our database1, Aliaksei Severyn authored at least 49 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
West-of-N: Synthetic Preference Generation for Improved Reward Modeling.
CoRR, 2024

Small Language Models Improve Giants by Rewriting Their Outputs.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Fast Text Generation with Text-Editing Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Teaching Small Language Models to Reason.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Text Generation with Text-Editing Models.
CoRR, 2022

EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Controlled Text Generation as Continuous Optimization with Multiple Constraints.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Simple Recipe for Multilingual Grammatical Error Correction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks.
Trans. Assoc. Comput. Linguistics, 2020

Unsupervised Text Style Transfer with Padded Masked Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

FELIX: Flexible Text Editing Through Tagging and Insertion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities.
Proceedings of the 36th International Conference on Machine Learning, 2019

Encode, Tag, Realize: High-Precision Text Editing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Using Audio Transformations to Improve Comprehension in Voice Question Answering.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

2018
Adversarial Neural Networks for Cross-lingual Sequence Tagging.
CoRR, 2018

On Accurate Evaluation of GANs for Language Generation.
CoRR, 2018

Prosody Modifications for Question-Answering in Voice-Only Settings.
CoRR, 2018

Eval all, trust a few, do wrong to none: Comparing sentence generation models.
CoRR, 2018

2017
Learning to Learn from Weak Supervision by Full Supervision.
CoRR, 2017

Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision.
CoRR, 2017

Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification.
Proceedings of the 26th International Conference on World Wide Web, 2017

Neural Ranking Models with Weak Supervision.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Hybrid Convolutional Variational Autoencoder for Text Generation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Multi-lingual opinion mining on YouTube.
Inf. Process. Manag., 2016

Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks.
CoRR, 2016

Recurrent Dropout without Memory Loss.
Proceedings of the COLING 2016, 2016

Globally Normalized Transition-Based Neural Networks.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Modelling input texts: from Tree Kernels to Deep Learning.
PhD thesis, 2015

Twitter Sentiment Analysis with Deep Convolutional Neural Networks.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

On the Automatic Learning of Sentiment Lexicons.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Distributional Neural Networks for Automatic Resolution of Crossword Puzzles.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
A syntax-aware re-ranker for microblog retrieval.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

SenTube: A Corpus for Sentiment Analysis on YouTube Social Media.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Encoding Semantic Resources in Syntactic Structures for Passage Reranking.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Opinion Mining on YouTube.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
iKernels-Core: Tree Kernel Learning for Textual Similarity.
Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Fast Linearization of Tree Kernels over Large-Scale Data.
Proceedings of the IJCAI 2013, 2013

Automatic Feature Engineering for Answer Selection and Extraction.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Learning Adaptable Patterns for Passage Reranking.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

Building structures from classifiers for passage reranking.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Learning Semantic Textual Similarity with Structural Representations.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Fast support vector machines for convolution tree kernels.
Data Min. Knowl. Discov., 2012

Structural relationships for large-scale learning of answer re-ranking.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011
Fast Support Vector Machines for Structural Kernels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Large-Scale Learning with Structural Kernels for Class-Imbalanced Datasets.
Proceedings of the Eternal Systems - First International Workshop, 2011

2010
Large-Scale Support Vector Learning with Structural Kernels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010


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