Abstract: Domain generalization (DG) has led to remarkable achievements in cross-scene hyperspectral image (HSI) classification. Inspired by contrastive language-image pretraining (CLIP), the language ...

Abstract: Time series classification requires specialized models that can effectively capture temporal structures. Consequently, Large Language Models (LLMs) have emerged as promising candidates due ...

In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...

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 ...

ABSTRACT: This paper investigates the role of tag questions in expressing stance within British university seminars. Building on Kimps’s (2018) classification of stance-conveying tag questions, this ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Text embedding models have become foundational in natural language processing (NLP). These models convert text into high-dimensional vectors that capture semantic relationships, enabling tasks like ...

This is my MSc Project at Queen Mary University of London. The purpose of this implementation is to utilise multiple APIs in order to collate a dataset that can be used to classify sentences or ...