Specific Corpus

Specific corpora, collections of text data tailored to particular domains, are crucial for advancing natural language processing (NLP). Current research emphasizes creating and utilizing these corpora for diverse applications, ranging from analyzing historical language contact and detecting online conspiracy theories to improving the performance of large language models (LLMs) in specialized fields like medicine and education. Researchers are employing various techniques, including LLMs for data cleaning and prompt optimization, support vector machines for classification, and knowledge distillation for model compression, to enhance the utility and accuracy of NLP models trained on these specialized datasets. The development and analysis of such corpora are vital for improving the reliability and applicability of NLP across numerous scientific disciplines and practical applications.