Abstract Meaning Representation

Abstract Meaning Representation (AMR) is a semantic representation method in natural language processing that aims to capture the abstract meaning structure of sentences, representing the core semantic relationships and entities through graph structures. The goal of AMR is to provide a unified and formalized semantic representation to facilitate machine understanding and generation of natural language. This approach is of significant value in applications such as machine translation, sentiment analysis, and question answering systems, enhancing their semantic comprehension and accuracy.