Text Summarization Using Deep Learning Techniques: A Review
The process of text summarization is one of the applications of natural language processing that presents one of the most challenging obstacles. This is one of the most challenging duties since it demands an in-depth understanding of the information that is being retrieved from the text; as a result...
Saved in:
| Main Authors: | Mohmmadali Muzffarali Saiyyad, Nitin N. Patil |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-01-01
|
| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/59/1/194 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Leveraging Deep Learning and NLP for Automated Text Summarization in Healthcare
by: Usha Rani Rella, et al.
Published: (2025-01-01) -
Abstractive Text Summarization in Arabic-Like Script Using Multi-Encoder Architecture and Semantic Extraction Techniques
by: Wajiha Fatima, et al.
Published: (2025-01-01) -
Comparative Analysis of T5 Model Performance for Indonesian Abstractive Text Summarization
by: Mohammad Wahyu Bagus Dwi Satya, et al.
Published: (2025-05-01) -
A Review of the State-of-the-Art Techniques and Analysis of Transformers for Bengali Text Summarization
by: MD Iftekharul Mobin, et al.
Published: (2025-04-01) -
Legal text summarization via judicial syllogism with large language models
by: Yumei Song, et al.
Published: (2025-07-01)