Extracting structure from text documents based on machine learning
This study is devoted to a method that facilitates the task of extracting structure from the text documents using an artificial neural network. The method consists of data preparation, building and training the model and results evaluation. Data preparation includes collecting corpora of documents...
Saved in:
| Date: | 2023 |
|---|---|
| Main Authors: | Kudim, K.A., Proskudina, G.Yu. |
| Format: | Article |
| Language: | English |
| Published: |
PROBLEMS IN PROGRAMMING
2023
|
| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/517 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Problems in programming |
| Download file: | |
Institution
Problems in programmingSimilar Items
A method for extracting data from semis-tructured documents
by: Kudim, K.A., et al.
Published: (2020)
by: Kudim, K.A., et al.
Published: (2020)
Machine-learning methods for text named entity recognition
by: Marchenko, O.O.
Published: (2018)
by: Marchenko, O.O.
Published: (2018)
Methods and tools for extracting personal data from theses abstracts
by: Kudim, K.A., et al.
Published: (2019)
by: Kudim, K.A., et al.
Published: (2019)
About technologies of use of external data on creating and editing of encyclopedic texts
by: Proskudina, G.Yu., et al.
Published: (2018)
by: Proskudina, G.Yu., et al.
Published: (2018)
Extracting structure from text documents based on machine learning
by: Kudim, K.A., et al.
Published: (2022)
by: Kudim, K.A., et al.
Published: (2022)
Machine learning methods analysis in the document classification problem
by: Zhyrkova, A.P., et al.
Published: (2021)
by: Zhyrkova, A.P., et al.
Published: (2021)
Mixed topic-entity ontology for enhanced topic vector-spaced model
by: Shabinskiy, A.S.
Published: (2025)
by: Shabinskiy, A.S.
Published: (2025)
Overview of global open access resource aggregation services and their requirements for data providers
by: Proskudina, G.Yu., et al.
Published: (2025)
by: Proskudina, G.Yu., et al.
Published: (2025)
Global open access resource aggregation services and their requirements for data providers
by: Proskudina, G.Yu., et al.
Published: (2024)
by: Proskudina, G.Yu., et al.
Published: (2024)
Application of machine learning in software engineering: an overview
by: Moroz, O.H., et al.
Published: (2019)
by: Moroz, O.H., et al.
Published: (2019)
Method for political propaganda detection in internet content using neural network natural language processing tools
by: Krak, Iu.V., et al.
Published: (2024)
by: Krak, Iu.V., et al.
Published: (2024)
Application of deep learning technology for creating intellectual autonomous machines
by: Bilokon, O.S.
Published: (2020)
by: Bilokon, O.S.
Published: (2020)
Decompositional Extraction and Retrieval of Conceptual Knowledge
by: Terletskyi, D.O., et al.
Published: (2023)
by: Terletskyi, D.O., et al.
Published: (2023)
Developing a semantic image model using machine learning based on convolutional neural networks
by: Andon, P.I., et al.
Published: (2020)
by: Andon, P.I., et al.
Published: (2020)
Evaluating text coherence based on the graph of the consistency of phrases to identify symptoms of schizophrenia
by: Kramov, A. А.
Published: (2020)
by: Kramov, A. А.
Published: (2020)
Practical content of the elements of petrophysical model of terrigenous sandstones — oil and gas reservoirs in neural networks, deep learning and regression methods
by: Vyzhva, Serhiy, et al.
Published: (2025)
by: Vyzhva, Serhiy, et al.
Published: (2025)
Parallel software auto-tuning using statistical modeling and machine learning
by: Doroshenko, А.Yu., et al.
Published: (2018)
by: Doroshenko, А.Yu., et al.
Published: (2018)
Method of the coherence evaluation of Ukrainian text.
by: Pogorilyy, S. D., et al.
Published: (2019)
by: Pogorilyy, S. D., et al.
Published: (2019)
Modern AI methods for detecting propaganda in text
by: Бойко , О.А.
Published: (2025)
by: Бойко , О.А.
Published: (2025)
Automated methods of coherence evaluation of Ukrainian texts using machine learning techniques
by: Kramov, A.A., et al.
Published: (2020)
by: Kramov, A.A., et al.
Published: (2020)
Development and research of a modified convolutional neural network for malaria cell pattern recognition
by: Федорченко, Є. М., et al.
Published: (2023)
by: Федорченко, Є. М., et al.
Published: (2023)
Coreference resolution algorithm for Ukrainian-language texts using decision trees
by: Pogorilyy, S.D., et al.
Published: (2023)
by: Pogorilyy, S.D., et al.
Published: (2023)
The technology of machine learning for a composite web service development
by: Grishanova, I.Yu., et al.
Published: (2025)
by: Grishanova, I.Yu., et al.
Published: (2025)
Review of methods of events extraction «from the stream of news»
by: Pryshchepa, S. V.
Published: (2015)
by: Pryshchepa, S. V.
Published: (2015)
Applying spectral decomposition to seismic facies clustering with unsupervised machine learning
by: Malikov, Ruslan, et al.
Published: (2025)
by: Malikov, Ruslan, et al.
Published: (2025)
IMPLEMENTING OF MICROSOFT AZURE MACHINE LEARNING TECHNOLOGY FOR ELECTRIC MACHINES OPTIMIZATION
by: Pliugin, V. E., et al.
Published: (2019)
by: Pliugin, V. E., et al.
Published: (2019)
A dialogue system based on ontology automatically built through a natural language text analysis
by: Litvin, A.A., et al.
Published: (2023)
by: Litvin, A.A., et al.
Published: (2023)
A generalized methodology of sign language recognition on video streams based on neural networks and transformers
by: Кузнєцова, Н. В., et al.
Published: (2023)
by: Кузнєцова, Н. В., et al.
Published: (2023)
Use of ontological knowledge in machine learning methods for intelligent analysis of Big Data
by: Rogushina, J.V.
Published: (2019)
by: Rogushina, J.V.
Published: (2019)
The technology of new events extraction on a defined topic from Twitter social network
by: Pryshchepa, S. V.
Published: (2017)
by: Pryshchepa, S. V.
Published: (2017)
Double layer back propagation neural network based on restricted Boltzmann machines for forecasting daily particulate matter 2.5
by: Fu, Minglei, et al.
Published: (2017)
by: Fu, Minglei, et al.
Published: (2017)
Recurrent neural network model for music generation
by: Komarskiy, O.C., et al.
Published: (2022)
by: Komarskiy, O.C., et al.
Published: (2022)
Maximizing solar photovoltaic system efficiency by multivariate linear regression based maximum power point tracking using machine learning
by: Paquianadin, V., et al.
Published: (2024)
by: Paquianadin, V., et al.
Published: (2024)
Application of machine learning models to predict energy consumption in smart home systems
by: Haidukevych, V.O., et al.
Published: (2025)
by: Haidukevych, V.O., et al.
Published: (2025)
Digital twins in intrusion detection systems based on deep learning
by: Letychevskyi, O.O., et al.
Published: (2025)
by: Letychevskyi, O.O., et al.
Published: (2025)
Development of the intelligent control system of an unmanned car
by: Dakhno, N.B., et al.
Published: (2024)
by: Dakhno, N.B., et al.
Published: (2024)
A method for extracting data from semistructured documents
by: K. A. Kudim, et al.
Published: (2020)
by: K. A. Kudim, et al.
Published: (2020)
Implementation of neural network based 2D seismic images super resolution approach
by: Noskov, Oleksii, et al.
Published: (2025)
by: Noskov, Oleksii, et al.
Published: (2025)
Application of machine learning to improving numerical weather prediction
by: Doroshenko, А.Yu., et al.
Published: (2020)
by: Doroshenko, А.Yu., et al.
Published: (2020)
Horizontal and Vertical Scalability of Machine Learning Methods
by: Biletskyy, B.O.
Published: (2019)
by: Biletskyy, B.O.
Published: (2019)
Similar Items
-
A method for extracting data from semis-tructured documents
by: Kudim, K.A., et al.
Published: (2020) -
Machine-learning methods for text named entity recognition
by: Marchenko, O.O.
Published: (2018) -
Methods and tools for extracting personal data from theses abstracts
by: Kudim, K.A., et al.
Published: (2019) -
About technologies of use of external data on creating and editing of encyclopedic texts
by: Proskudina, G.Yu., et al.
Published: (2018) -
Extracting structure from text documents based on machine learning
by: Kudim, K.A., et al.
Published: (2022)