VerbNet is a comprehensive lexical resource that categorizes English verbs into classes based on their shared syntactic and semantic properties. It provides detailed information about verb behavior, including how they combine with arguments and their roles in sentences. Developed as part of the FrameNet project, VerbNet aims to enhance natural language processing by offering a structured way to understand verb usage. It includes examples and templates that illustrate how different verbs function in various contexts, making it a valuable tool for linguists and computer scientists alike.