Cover Image

Automated methods of coherence evaluation of Ukrainian texts using machine learning techniques

Saved in:

Bibliographic Details
Date:	2020
Main Authors:	A. A. Kramov, S. D. Pohorilyi
Format:	Article
Language:	English
Published:	2020
Series:	Problems in programming
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0001163065
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

Automated methods of coherence evaluation of Ukrainian texts using machine learning techniques
by: Kramov, A.A., et al.
Published: (2020)

Method of the coherence evaluation of Ukrainian text
by: S. D. Pohorilyi, et al.
Published: (2018)

Method of the coherence evaluation of Ukrainian text.
by: Pogorilyy, S. D., et al.
Published: (2019)

Assessment of text coherence by constructing the graph of semantic, lexical and grammatical consistency of phrases of sentences
by: S. D. Pohorilyi, et al.
Published: (2020)

Evaluating text coherence based on the graph of the consistency of phrases to identify symptoms of schizophrenia
by: A. Kramov
Published: (2020)

Method of Noun Phrase Detection in Ukrainian Texts
by: S. D. Pohorilyi, et al.
Published: (2019)

Evaluating text coherence based on the graph of the consistency of phrases to identify symptoms of schizophrenia
by: Kramov, A. А.
Published: (2020)

Recognition of Handwritten Texts on Images Using Deep Machine Learning
by: M. D. Snitko, et al.
Published: (2024)

Machine-learning methods for text named entity recognition
by: Marchenko, O.O.
Published: (2018)

Machine-learning methods for text named entity recognition
by: O. O. Marchenko
Published: (2016)

Using machine learning methods in practice
by: Ya. O. Tupalo
Published: (2018)

Automated extraction of structured information from a variety of web pages
by: S. D. Pohorilyi, et al.
Published: (2018)

Extracting structure from text documents based on machine learning
by: Kudim, K.A., et al.
Published: (2023)

Using Machine Learning Methods to Estimate the Cost of Housing
by: V. V. Tretynyk, et al.
Published: (2021)

Monitoring patients using fuzzy logic and machine learning methods
by: O. A. Khorozov
Published: (2017)

Information techniques of deep machine learning for the analysis of land cover changes
by: N. N. Kussul, et al.
Published: (2016)

The image oversampling using means of machine learning
by: R. O. Tkachenko, et al.
Published: (2016)

Machine learning methods for environmental monitoring
by: P. V. Mikava, et al.
Published: (2024)

Microclimate automation system in public catering establishments with a module for eliminating uncertainties in temperature regulation using machine learning
by: I. Velychko, et al.
Published: (2024)

English Accent Recognition Using Deep Machine Learning
by: A. V. Manokhin, et al.
Published: (2021)

Horizontal and Vertical Scalability of Machine Learning Methods
by: Biletskyy, B.O.
Published: (2019)

Horizontal and vertical scalability of machine learning methods
by: B. O. Biletskyi
Published: (2019)

About One Machine Learning Method For Paraphrase Identification
by: O. O. Marchenko, et al.
Published: (2016)

Use of ontological knowledge in machine learning methods for intelligent analysis of Big Data
by: Rogushina, J.V.
Published: (2019)

Use of ontological knowledge in machine learning methods for intelligent analysis of Big Data
by: Yu. V. Rohushyna
Published: (2018)

Machine learning methods analysis in the document classification problem
by: A. P. Zhyrkova, et al.
Published: (2020)

Machine learning methods analysis in the document classification problem
by: Zhyrkova, A.P., et al.
Published: (2021)

Automated search of named entities in unmarked Ukrainian texts
by: A. M. Hlybovets
Published: (2017)

The Use of Machine Learning for the Purpose of Combating Bank Fraud
by: I. Caprian
Published: (2023)

Diabetes prediction using an improved machine learning approach
by: S. Lyaqini, et al.
Published: (2021)

Improving text generation through introducing coherence metrics
by: O. O. Marchenko, et al.
Published: (2020)

Improving text generation through introducing coherence metrics
by: Marchenko, O.O., et al.
Published: (2020)

Parallel software auto-tuning using statistical modeling and machine learning
by: Doroshenko, А.Yu., et al.
Published: (2018)

Parallel software auto-tuning using statistical modeling and machine learning
by: Yu. Doroshenko, et al.
Published: (2018)

Distributed Bayesian machine learning procedures
by: B. A. Beletskij
Published: (2019)

Automation of Enterprise Business Processes Using the Method of Stochastic Modeling and WorkFlow Techniques – EPC
by: I. M. Horbas, et al.
Published: (2021)

Review of machine learning methods for Big satellite Data classification
by: M. S. Lavreniuk, et al.
Published: (2018)

Machine Learning algorithms in Big Data context
by: V. M. Tereshchenko, et al.
Published: (2018)

Machine Learning approach for malware detection using executable files features extraction
by: Voranau, A.A., et al.
Published: (2018)

Machine Learning approach for malware detection using executable files features extraction
by: A. A. Voranau, et al.
Published: (2018)