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...
Gespeichert in:
| Datum: | 2023 |
|---|---|
| Hauptverfasser: | Kudim, K.A., Proskudina, G.Yu. |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
PROBLEMS IN PROGRAMMING
2023
|
| Schlagworte: | |
| Online Zugang: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/517 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Назва журналу: | Problems in programming |
| Завантажити файл: | |
Institution
Problems in programmingÄhnliche Einträge
-
Machine-learning methods for text named entity recognition
von: Marchenko, O.O.
Veröffentlicht: (2018) -
About technologies of use of external data on creating and editing of encyclopedic texts
von: Proskudina, G.Yu., et al.
Veröffentlicht: (2018) -
Machine learning methods analysis in the document classification problem
von: Zhyrkova, A.P., et al.
Veröffentlicht: (2021) -
Extracting structure from text documents based on machine learning
von: Kudim, K.A., et al.
Veröffentlicht: (2022) -
Mixed topic-entity ontology for enhanced topic vector-spaced model
von: Shabinskiy, A.S.
Veröffentlicht: (2025)