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 …

2022年10月28日 · 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 …

2024年11月20日 · Learning Objectives Understand the core differences between BERT, DistilBERT, BART, and T5 for NLP tasks like text summarization and question answering. …

2022年1月18日 · Although abstraction performs better at text summarization, developing its algorithms requires complicated deep learning techniques and sophisticated language modeling.

2024年4月19日 · 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 …

2024年6月1日 · The landscape of text summarization is adorned with a myriad of models and techniques, reflecting ongoing exploration and innovation. From traditional extractive methods …

2025年2月12日 · 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.

2023年5月23日 · 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 …

2024年8月20日 · 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, …

2025年5月15日 · Text summarization represents a sophisticated evolution of text generation, requiring a deep understanding of content and context. With encoder-decoder transformer …

2022年1月1日 · 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