Text Expansion

Text expansion aims to automatically enrich text by adding detail and context, improving readability and information retrieval. Current research focuses on developing methods, often leveraging large language models (LLMs) and incorporating techniques like named entity recognition, to generate more informative and nuanced text from concise input. This is being explored across various applications, including medical record processing and augmentative communication, with a strong emphasis on evaluating expansion quality through metrics that capture both semantic accuracy and added information. The development of robust and reliable text expansion techniques holds significant potential for improving human-computer interaction and information access across diverse fields.