Artem N. Chernodub

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 13

Top Topics

Recurrent Neural Networks

Error Correction

Automatic Categorization

Top Venues

Publications

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