Hearing impairment selectively disrupts neural tracking of speech at both short and long temporal scales during multi-speaker listening, while preserving intermediate linguistic processing.

Abstract: Text classification is fundamental in Natural Language Processing (NLP), and the advent of Large Language Models (LLMs) has revolutionized the field. This paper introduces an adaptable and ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

Ms. O’Rourke is the executive editor of The Yale Review and a professor of creative writing at Yale University. July 18, 2025 When I first told ChatGPT who I was, it sent a gushing reply: “Oh wow — it ...

A web-based AI-powered Sentiment Analyzer that uses VADER, ROBERTa and BERT models to detect positive, negative, or neutral sentiment in text. Built with Flask and NLP tools, it's perfect for ...

Abstract: This article presents a comparative study of text classification [1] models used in the automotive industries, using NLP (Natural Language Processing) [2]. The focus is placed on using the ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...