Artem N. Chernodub

According to our database, Artem N. Chernodub authored at least 12 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models.

Kostiantyn Omelianchuk, Andrii Liubonko, Oleksandr Skurzhanskyi, Artem N. Chernodub, Oleksandr Korniienko, Igor Samokhin

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

2022

Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction.

Maksym Tarnavskyi, Artem N. Chernodub, Kostiantyn Omelianchuk

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020

GECToR - Grammatical Error Correction: Tag, Not Rewrite.

Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem N. Chernodub, Oleksandr Skurzhanskyi

Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2020

2019

Generalizability of Readability Models for Medical Terms.

Hanna Pylieva, Artem N. Chernodub, Natalia Grabar, Thierry Hamon

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

RNN Embeddings for Identifying Difficult to Understand Medical Words.

Hanna Pylieva, Artem N. Chernodub, Natalia Grabar, Thierry Hamon

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

TARGER: Neural Argument Mining at Your Fingertips.

Artem N. Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, Alexander Panchenko

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Improving Automatic Categorization of Technical vs. Laymen Medical Words using FastText Word Embeddings.

Hanna Pylieva, Artem N. Chernodub, Natalia Grabar, Thierry Hamon

Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), 2018

2016

Norm-preserving Orthogonal Permutation Linear Unit Activation Functions (OPLU).

Artem N. Chernodub, Dimitri Nowicki

CoRR, 2016

Sampling-Based Gradient Regularization for Capturing Long-Term Dependencies in Recurrent Neural Networks.

Artem N. Chernodub, Dimitri Nowicki

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Neurocontrol methods review.

Artem N. Chernodub, Dmitry A. Dziuba

CoRR, 2015

2013

Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions.

Artem N. Chernodub

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Training neuroemulators using Multicriteria Extended Kalman Filter and pseudoregularization for Model Reference Adaptive Neurocontrol.

Artem N. Chernodub

Proceedings of the 4th International Congress on Ultra Modern Telecommunications and Control Systems, 2012