The document discusses text summarization using deep learning for Bangla (Bengali) text. It defines text summarization as making short, accurate summaries of the main points of given …

28 DFómh 2022 · Text summarization is the process of condensing a long text into a shorter version by maintaining the key information and its meaning. Automatic text summarization can …

Cheng et. al (2021) [8] The generative summarization technique is examined in this study, and a semantic similarity model is suggested. The model's coding and decoding section use an …

20 Samh 2024 · Learning Objectives Understand the core differences between BERT, DistilBERT, BART, and T5 for NLP tasks like text summarization and question answering. Understand the …

18 Ean 2022 · Although abstraction performs better at text summarization, developing its algorithms requires complicated deep learning techniques and sophisticated language modeling.

19 Aib 2024 · With an emerging field of deep learning, performing complex operations has become faster and easier. As you start exploring the field of deep learning, you are definitely …

1 Meith 2024 · The landscape of text summarization is adorned with a myriad of models and techniques, reflecting ongoing exploration and innovation. From traditional extractive methods …

12 Feabh 2025 · Overall, the research demonstrates the potential of machine learning in automating the summarization of news articles and suggests avenues for further improvement …

This paper proposes the different approaches to text summarization using deep learning. First approach is by using sequence-to-sequence model for summarizing the text articles.

23 Beal 2023 · With the rapid and unprecedented growth of textual data in recent years, there is a remarkable need for automatic text summarization models to retrieve useful information from …

20 Lún 2024 · Also, it explains the basic statistical models such as TF-IDF or LSA, machine learning, and deep learning, and focuses on Transformer-based models like BERT or GPT, …

15 Beal 2025 · Text summarization represents a sophisticated evolution of text generation, requiring a deep understanding of content and context. With encoder-decoder transformer …

1 Ean 2022 · Automatic Text Summarization (ATS) is an important area in Natural Language Processing (NLP) with the goal of shortening a long text into a more compact version by …

Automatic text summarization of konkani texts using pre-trained word embeddings and deep learning Jovi D’Silva, Uzzal Sharma