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2020 – today
- 2020
[j3]Sascha Rothe, Shashi Narayan, Aliaksei Severyn:
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. Trans. Assoc. Comput. Linguistics 8: 264-280 (2020)- [c30]Jonathan Mallinson, Aliaksei Severyn, Eric Malmi, Guillermo Garrido:
FELIX: Flexible Text Editing Through Tagging and Insertion. EMNLP (Findings) 2020: 1244-1255 - [c29]Eric Malmi, Aliaksei Severyn, Sascha Rothe:
Unsupervised Text Style Transfer with Padded Masked Language Models. EMNLP (1) 2020: 8671-8680 - [i17]Jonathan Mallinson, Aliaksei Severyn, Eric Malmi, Guillermo Garrido:
Felix: Flexible Text Editing Through Tagging and Insertion. CoRR abs/2003.10687 (2020) - [i16]Eric Malmi, Aliaksei Severyn, Sascha Rothe:
Unsupervised Text Style Transfer with Padded Masked Language Models. CoRR abs/2010.01054 (2020)
2010 – 2019
- 2019
- [c28]Aleksandr Chuklin, Aliaksei Severyn, Johanne R. Trippas, Enrique Alfonseca, Hanna Silén, Damiano Spina
:
Using Audio Transformations to Improve Comprehension in Voice Question Answering. CLEF 2019: 164-170 - [c27]Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn:
Encode, Tag, Realize: High-Precision Text Editing. EMNLP/IJCNLP (1) 2019: 5053-5064 - [c26]Octavian Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn:
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. ICML 2019: 2073-2082 - [i15]Octavian-Eugen Ganea, Sylvain Gelly, Gary Bécigneul, Aliaksei Severyn:
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. CoRR abs/1902.08077 (2019) - [i14]Sascha Rothe, Shashi Narayan, Aliaksei Severyn:
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. CoRR abs/1907.12461 (2019) - [i13]Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn:
Encode, Tag, Realize: High-Precision Text Editing. CoRR abs/1909.01187 (2019) - 2018
- [i12]Ondrej Cífka, Aliaksei Severyn, Enrique Alfonseca, Katja Filippova:
Eval all, trust a few, do wrong to none: Comparing sentence generation models. CoRR abs/1804.07972 (2018) - [i11]Aleksandr Chuklin, Aliaksei Severyn, Johanne R. Trippas, Enrique Alfonseca, Hanna Silén, Damiano Spina:
Prosody Modifications for Question-Answering in Voice-Only Settings. CoRR abs/1806.03957 (2018) - [i10]Stanislau Semeniuta, Aliaksei Severyn, Sylvain Gelly:
On Accurate Evaluation of GANs for Language Generation. CoRR abs/1806.04936 (2018) - [i9]Heike Adel, Anton Bryl, David Weiss, Aliaksei Severyn:
Adversarial Neural Networks for Cross-lingual Sequence Tagging. CoRR abs/1808.04736 (2018) - 2017
- [c25]Kateryna Tymoshenko, Alessandro Moschitti, Massimo Nicosia, Aliaksei Severyn:
RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations. ACL (System Demonstrations) 2017: 79-84 - [c24]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
A Hybrid Convolutional Variational Autoencoder for Text Generation. EMNLP 2017: 627-637 - [c23]Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft:
Neural Ranking Models with Weak Supervision. SIGIR 2017: 65-74 - [c22]Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi:
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. WWW 2017: 1045-1052 - [i8]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
A Hybrid Convolutional Variational Autoencoder for Text Generation. CoRR abs/1702.02390 (2017) - [i7]Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi:
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. CoRR abs/1703.02504 (2017) - [i6]Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft:
Neural Ranking Models with Weak Supervision. CoRR abs/1704.08803 (2017) - [i5]Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe, Jaap Kamps:
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision. CoRR abs/1711.00313 (2017) - [i4]Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe, Jaap Kamps:
Learning to Learn from Weak Supervision by Full Supervision. CoRR abs/1711.11383 (2017) - 2016
- [j2]Aliaksei Severyn, Alessandro Moschitti, Olga Uryupina, Barbara Plank, Katja Filippova:
Multi-lingual opinion mining on YouTube. Inf. Process. Manag. 52(1): 46-60 (2016) - [c21]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. ACL (1) 2016 - [c20]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
Recurrent Dropout without Memory Loss. COLING 2016: 1757-1766 - [i3]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
Recurrent Dropout without Memory Loss. CoRR abs/1603.05118 (2016) - [i2]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. CoRR abs/1603.06042 (2016) - [i1]Aliaksei Severyn, Alessandro Moschitti:
Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks. CoRR abs/1604.01178 (2016) - 2015
- [b1]Aliaksei Severyn:
Modelling input texts: from Tree Kernels to Deep Learning. University of Trento, Italy, 2015 - [c19]Aliaksei Severyn, Massimo Nicosia, Gianni Barlacchi, Alessandro Moschitti:
Distributional Neural Networks for Automatic Resolution of Crossword Puzzles. ACL (2) 2015: 199-204 - [c18]Aliaksei Severyn, Alessandro Moschitti:
On the Automatic Learning of Sentiment Lexicons. HLT-NAACL 2015: 1397-1402 - [c17]Aliaksei Severyn, Alessandro Moschitti:
UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification. SemEval@NAACL-HLT 2015: 464-469 - [c16]Aliaksei Severyn, Alessandro Moschitti:
Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR 2015: 373-382 - [c15]Aliaksei Severyn, Alessandro Moschitti:
Twitter Sentiment Analysis with Deep Convolutional Neural Networks. SIGIR 2015: 959-962 - 2014
- [c14]Aliaksei Severyn, Alessandro Moschitti, Olga Uryupina, Barbara Plank, Katja Filippova:
Opinion Mining on YouTube. ACL (1) 2014: 1252-1261 - [c13]Kateryna Tymoshenko, Alessandro Moschitti, Aliaksei Severyn:
Encoding Semantic Resources in Syntactic Structures for Passage Reranking. EACL 2014: 664-672 - [c12]Olga Uryupina, Barbara Plank, Aliaksei Severyn, Agata Rotondi, Alessandro Moschitti:
SenTube: A Corpus for Sentiment Analysis on YouTube Social Media. LREC 2014: 4244-4249 - [c11]Aliaksei Severyn, Alessandro Moschitti, Manos Tsagkias, Richard Berendsen, Maarten de Rijke:
A syntax-aware re-ranker for microblog retrieval. SIGIR 2014: 1067-1070 - 2013
- [c10]Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti:
Learning Semantic Textual Similarity with Structural Representations. ACL (2) 2013: 714-718 - [c9]Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti:
Building structures from classifiers for passage reranking. CIKM 2013: 969-978 - [c8]Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti:
Learning Adaptable Patterns for Passage Reranking. CoNLL 2013: 75-83 - [c7]Aliaksei Severyn, Alessandro Moschitti:
Automatic Feature Engineering for Answer Selection and Extraction. EMNLP 2013: 458-467 - [c6]Aliaksei Severyn, Alessandro Moschitti:
Fast Linearization of Tree Kernels over Large-Scale Data. IJCAI 2013: 2162-2168 - [c5]Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti:
iKernels-Core: Tree Kernel Learning for Textual Similarity. *SEM@NAACL-HLT 2013: 53-58 - 2012
- [j1]Aliaksei Severyn, Alessandro Moschitti:
Fast support vector machines for convolution tree kernels. Data Min. Knowl. Discov. 25(2): 325-357 (2012) - [c4]Aliaksei Severyn, Alessandro Moschitti:
Structural relationships for large-scale learning of answer re-ranking. SIGIR 2012: 741-750 - 2011
- [c3]Aliaksei Severyn, Alessandro Moschitti:
Large-Scale Learning with Structural Kernels for Class-Imbalanced Datasets. EternalS@FET 2011: 34-41 - [c2]Aliaksei Severyn, Alessandro Moschitti:
Fast Support Vector Machines for Structural Kernels. ECML/PKDD (3) 2011: 175-190 - 2010
- [c1]Aliaksei Severyn, Alessandro Moschitti:
Large-Scale Support Vector Learning with Structural Kernels. ECML/PKDD (3) 2010: 229-244
Coauthor Index
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