Buchumschlag

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

The main methods of coherence evaluation of texts with the usage of different machine learning techniques have been analyzed. The principles of methods with the usage of recurrent and convolutional neural networks have been described in details. The advantages of a semantic similarity graph method h...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Datum:	2020
Hauptverfasser:	Kramov, A.A., Pogorilyy, S.D.
Format:	Artikel
Sprache:	Ukrainisch
Veröffentlicht:	PROBLEMS IN PROGRAMMING 2020
Schlagworte:	coherence of a text recurrent neural network convolutional neural network semantic similarity graph semantic representation of sentences document discrimination task insertion task UDC 004.83
Online Zugang:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/421
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Problems in programming
Завантажити файл:

Institution

Problems in programming

Ähnliche Einträge

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

A generalized methodology of sign language recognition on video streams based on neural networks and transformers
von: Кузнєцова, Н. В., et al.
Veröffentlicht: (2023)

Developing a semantic image model using machine learning based on convolutional neural networks
von: Andon, P.I., et al.
Veröffentlicht: (2020)

Method for political propaganda detection in internet content using neural network natural language processing tools
von: Krak, Iu.V., et al.
Veröffentlicht: (2024)

A prediction of the frequency of non-periodic signals based on convolutional neural networks
von: Subbotin, S. A., et al.
Veröffentlicht: (2018)

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

Development of domain thesaurus as a set of ontology concepts with use of semantic similarity and elements of combinatorial optimization
von: Rogushina, J.V., et al.
Veröffentlicht: (2021)

The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data
von: Krysenko, Pavlo
Veröffentlicht: (2025)

Semantic Indexing and Cluster Analysis of Cybersecurity Documents
von: Ланде, Д. В., et al.
Veröffentlicht: (2024)

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

Development and research of a modified convolutional neural network for malaria cell pattern recognition
von: Федорченко, Є. М., et al.
Veröffentlicht: (2023)

Use of thesauruses for search of complex information objects on Web on the basis of ontologies
von: Rogushina, J.V.
Veröffentlicht: (2019)

Theoretical principles of use of ontologies for semantization of the Web resources
von: Rogushina, J.V.
Veröffentlicht: (2018)

Use of ontologies for personalized search of knowledge for natural language texts
von: Rogushina, J.V.
Veröffentlicht: (2018)

APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
von: Gorbunov, A. A., et al.
Veröffentlicht: (2017)

A modern approach to calculating the abilities and capabilities of military units to perform tasks using artificial intelligence
von: Бойченко, А. В., et al.
Veröffentlicht: (2025)

Recurrent neural networks for the problem of improving numerical meteorological forecasts
von: Doroshenko, А.Yu., et al.
Veröffentlicht: (2023)

An intelligent chatbot for evaluating the emotional colouring of a message and responding accordingly
von: Kobchenko, V. R., et al.
Veröffentlicht: (2024)

Recurrent neural network model for music generation
von: Komarskiy, O.C., et al.
Veröffentlicht: (2022)

Neural and Bayesian networks in the problem of credit risk analysis
von: Kuznietsova, N. V., et al.
Veröffentlicht: (2015)

Building of Networks of Natural Hierarchies of Terms Based on Analysis of Texts Corpora
von: Lande, D. V., et al.
Veröffentlicht: (2014)

Use of ontologies for search and navigation improvement in the online version of the "Great ukrainian encyclopedia"
von: Rogushina, J.V., et al.
Veröffentlicht: (2019)

Coreference resolution algorithm for Ukrainian-language texts using decision trees
von: Pogorilyy, S.D., et al.
Veröffentlicht: (2023)

Improvement of voltage stability for grid connected solar photovoltaic systems using static synchronous compensator with recurrent neural network
von: Praveen Kumar, T., et al.
Veröffentlicht: (2022)

Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid
von: Sahraoui, H., et al.
Veröffentlicht: (2021)

Optimization methods for face recognition algorithmes
von: Sitkov, I.P., et al.
Veröffentlicht: (2025)

Convolutional neural network model and software for classification of typical pests
von: Bezliudnyi, Y.S., et al.
Veröffentlicht: (2022)

Development of the intelligent control system of an unmanned car
von: Dakhno, N.B., et al.
Veröffentlicht: (2024)

Formation of management scenarios by means of investigation of information space
von: Boychenko, A. V., et al.
Veröffentlicht: (2017)

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

A Convolutional Neural Network Model and Software Tool for Classifying the Presence of a Medical Mask on a Human Face
von: Hryhorenko, Y.S., et al.
Veröffentlicht: (2023)

Simulation of ion-atom interactions at the corpuscular bombardment of the surface of steel samples
von: Гончаров, Виталий Викторович, et al.
Veröffentlicht: (2014)

Simulation of ion-atom interactions at the corpuscular bombardment of the surface of steel samples
von: Гончаров, Виталий Викторович, et al.
Veröffentlicht: (2014)

The perspectives of optical memory
von: Петров, В. В., et al.
Veröffentlicht: (2021)

Complex systems in geophysics: methods of research and prediction of their behavior
von: Mykulyak, Serhiy
Veröffentlicht: (2025)

Practical content of the elements of petrophysical model of terrigenous sandstones — oil and gas reservoirs in neural networks, deep learning and regression methods
von: Vyzhva, Serhiy, et al.
Veröffentlicht: (2025)

New application of artificial neural network-based direct power control for permanent magnet synchronous generator
von: Akkouchi, K., et al.
Veröffentlicht: (2021)

Mathematical models and methods for solving some problems on the information security
von: Никифоров, О. В., et al.
Veröffentlicht: (2023)

The use of ontological knowledge for multi-criteria comparison of complex information objects
von: Rogushina, J.V., et al.
Veröffentlicht: (2023)

Application of machine learning to improving numerical weather prediction
von: Doroshenko, А.Yu., et al.
Veröffentlicht: (2020)