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...
Saved in:
| Date: | 2020 |
|---|---|
| Main Authors: | Kramov, A.A., Pogorilyy, S.D. |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PROBLEMS IN PROGRAMMING
2020
|
| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/421 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Problems in programming |
| Download file: | |
Institution
Problems in programmingSimilar Items
-
Method of the coherence evaluation of Ukrainian text.
by: Pogorilyy, S. D., et al.
Published: (2019) -
A generalized methodology of sign language recognition on video streams based on neural networks and transformers
by: Кузнєцова, Н. В., 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) -
Method for political propaganda detection in internet content using neural network natural language processing tools
by: Krak, Iu.V., et al.
Published: (2024) -
A prediction of the frequency of non-periodic signals based on convolutional neural networks
by: Subbotin, S. A., et al.
Published: (2018)