Each AMR is a single rooted, directed graph. AMRs include PropBank semantic roles, within-sentence coreference, named entities and types, modality, negation, questions, quantities, and so on. See.
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The output graph spans the nodes by the distance to the root, following the intuition of first grasping the main ideas then digging into more details.
Evaluating AMR parsing accuracy involves comparing pairs of AMR graphs.
Abstract Meaning Representation (AMR) annotations are often assumed to closely mirror dependency syntax, but AMR explicitly does not require this, and the assumption has never been tested.
Non-projective parsing can be useful to handle cycles and reentrancy in AMR graphs.
AMR parsing is challenging partly due to the lack of annotated alignments between nodes in the graphs and words in the corresponding sentences.