Mixed topic-entity ontology for enhanced topic vector-spaced model
The paper considers to modelling ontologies in enhanced topic-based vector-space model of information retrieval. Proposed approach is oriented on ontology extraction automation. Methods of modelling topical structure of collections of documents with probabilistic topical models and named entity reco...
Saved in:
| Date: | 2025 |
|---|---|
| Main Author: | Shabinskiy, A.S. |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PROBLEMS IN PROGRAMMING
2025
|
| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/710 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Problems in programming |
| Download file: | |
Institution
Problems in programmingSimilar Items
-
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: (2023) -
Overview of global open access resource aggregation services and their requirements for data providers
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) -
Decompositional Extraction and Retrieval of Conceptual Knowledge
by: Terletskyi, D.O., et al.
Published: (2023)