Preface: 7th workshop on Natural Language Processing for Requirements Engineering (NLP4RE'24)

Natural language processing (NLP) plays an essential role in several areas of software engineering (SE), and requirements engineering (RE) is no exception. Requirements are generally authored and communicated in textual form and different levels of formality, from structured (e.g., user stories) to unstructured natural language. Furthermore, in the last few years, the advent of massive and heterogeneous sources, such as tweets and app reviews, has attracted even more interest from the RE community, and the recent developments in large language models (LLMs) and generative AI have opened new opportunities for RE. LLMs will likely be the enabling technology for solving long-standing RE problems, such as traceability, classification, and compliance.