Papers with sentence-level meaning representation

2 papers
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing (2021.starsem-1)

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Challenge: Abstract Meaning Representation (AMR) is a sentence-level meaning representation based on predicate argument structure.
Approach: They propose to use a dictionary to capture the structure of complex sentences . they train models on data derived from AMR and Wikipedia corpus .
Outcome: The proposed model will be made public and the proposed patterns will be validated.
Align-smatch: A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing based on Alignment of Concept and Relation (2022.lrec-1)

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Challenge: Abstract Meaning Representation abstracts the meaning of sentences into a single-rooted, acyclic and directed graph.
Approach: They propose to use a metric to evaluate concept alignment and relation alignment to improve Chinese AMR parsing evaluation methods.
Outcome: The proposed method is more robust and compatible with concept alignment and relation alignment and more robust in evaluating arcs.

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