Artem N. Chernodub

17 papers C 2Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2024 — conf
Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models.
BEA
Kostiantyn Omelianchuk, Andrii Liubonko, Oleksandr Skurzhanskyi, Artem N. Chernodub, Oleksandr Korniienko, Igor Samokhin
2024 J jnl
Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models.
CoRR
Kostiantyn Omelianchuk, Andrii Liubonko, Oleksandr Skurzhanskyi, Artem N. Chernodub, Oleksandr Korniienko, Igor Samokhin
2022 — conf
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction.
ACL (1)
Maksym Tarnavskyi, Artem N. Chernodub, Kostiantyn Omelianchuk
2022 J jnl
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction.
CoRR
Maksym Tarnavskyi, Artem N. Chernodub, Kostiantyn Omelianchuk
2020 — conf
GECToR - Grammatical Error Correction: Tag, Not Rewrite.
BEA@ACL
Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem N. Chernodub, Oleksandr Skurzhanskyi
2020 J jnl
GECToR - Grammatical Error Correction: Tag, Not Rewrite.
CoRR
Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem N. Chernodub, Oleksandr Skurzhanskyi
2019 — conf
Generalizability of Readability Models for Medical Terms.
MedInfo
Hanna Pylieva, Artem N. Chernodub, Natalia Grabar, Thierry Hamon
2019 — conf
RNN Embeddings for Identifying Difficult to Understand Medical Words.
BioNLP@ACL
Hanna Pylieva, Artem N. Chernodub, Natalia Grabar, Thierry Hamon
2019 — conf
TARGER: Neural Argument Mining at Your Fingertips.
ACL (3)
Artem N. Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, Alexander Panchenko
2018 C conf
Improving Automatic Categorization of Technical vs. Laymen Medical Words using FastText Word Embeddings.
IDDM
Hanna Pylieva, Artem N. Chernodub, Natalia Grabar, Thierry Hamon
2016 J jnl
Direct Method for Training Feed-forward Neural Networks using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions.
CoRR
Artem N. Chernodub
2016 J jnl
Norm-preserving Orthogonal Permutation Linear Unit Activation Functions (OPLU).
CoRR
Artem N. Chernodub, Dimitri Nowicki
2016 — conf
Sampling-Based Gradient Regularization for Capturing Long-Term Dependencies in Recurrent Neural Networks.
ICONIP (2)
Artem N. Chernodub, Dimitri Nowicki
2016 J jnl
Sampling-based Gradient Regularization for Capturing Long-Term Dependencies in Recurrent Neural Networks.
CoRR
Artem N. Chernodub, Dimitri Nowicki
2015 J jnl
Neurocontrol methods review.
CoRR
Artem N. Chernodub, Dmitry A. Dziuba
2013 C conf
Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions.
ICANN
Artem N. Chernodub
2012 — conf
Training neuroemulators using Multicriteria Extended Kalman Filter and pseudoregularization for Model Reference Adaptive Neurocontrol.
ICUMT
Artem N. Chernodub