Amr Parsing

AMR Parsing is an important task in natural language processing, aiming to convert natural language sentences into Abstract Meaning Representation (AMR) graphs. Each AMR is a single-rooted directed graph that contains rich semantic information such as PropBank semantic roles, coreference within the sentence, named entities and their types, modality, negation, interrogative sentences, quantities, etc. The goal of this task is to accurately capture the deep semantic structure of sentences, providing strong support for advanced applications like machine translation, question answering systems, sentiment analysis, and more.