Abstract: Text summarization, which is the process of making a brief summary of text while preserving its overall meaning, is an important problem in Natural Language Processing (NLP). Automatic ...
Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...
Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs. By Kashmir Hill In February, ...
Abstract: An approach for generating short and precise summaries for long text documents is proposed. Lately, the size of information on the internet is increasing. It has become tough for the users ...
ABSTRACT: The deluge of digital information in Liberia necessitates efficient content consumption. LbrBart, a proposed text summarization tool, is specifically designed to cater to the needs of ...
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 ...
Automated text summarization (ATS) is crucial for collecting specialized, domain-specific information. Zero-shot learning (ZSL) allows large language models (LLMs) to respond to prompts on information ...
The deluge of digital information in Liberia necessitates efficient content consumption. LbrBart, a proposed text summarization tool, is specifically designed to cater to the needs of Liberian news ...
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