Overview PDF files are an integral part of professional and academic work.Long documents make it difficult to research and ...
Python NLP makes text summarization faster and easier for large documents. Extractive methods are more accurate, while abstractive methods are more readable. Hybrid summarization reduces errors and ...
Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...
Phone scams aren’t the only threat anymore — scam text messages (also called “smishing”) are exploding in frequency and in financial damage. According to recent FTC data, Americans lost over $470 ...
Abstract: Text Summarization is the process of obtaining salient information from an authentic text document. In this technique, the extracted information is achieved as a summarized report and ...
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Objective: This study aims to present the current state of the art on clinical text summarization using large language models, evaluate the level of evidence in existing research and assess the ...
Gallagher, S., Rallapalli, S., and Brooks, T., 2025: Evaluating LLMs for Text Summarization: An Introduction. Carnegie Mellon University, Software Engineering ...
Microsoft is now testing an AI-powered text summarization feature in Notepad and a Snipping Tool "Draw & Hold" feature that helps draw perfect shapes. Dubbed "Summarize," the new and highly-requested ...
Abstract: Automatic text summarization has been emerged as a valuable tool for quickly locating the significant information in vast text with minimal effort. The practice of constructing a summarized ...
ABSTRACT: The rise of social media platforms has revolutionized communication, enabling the exchange of vast amounts of data through text, audio, images, and videos. These platforms have become ...
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