Papers by Meaghan Fowlie

2 papers
AMR dependency parsing with a typed semantic algebra (P18-1)

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Challenge: Abstract Meaning Representations (AMRs) are graphs which describe the predicate-argument structure of a sentence.
Approach: They propose a semantic parser which parses strings into tree representations of the compositional structure of an AMR graph.
Outcome: The proposed parser outperforms baselines and standard neural techniques for supertagging and dependency tree parsing.
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite (2023.emnlp-main)

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Challenge: Abstract Meaning Representation parsers have improved in recent years, but not solved.
Approach: They propose an evaluation suite that evaluates AMR parsers on a range of phenomena . they find that current parser outputs are far from satisfactory .
Outcome: The proposed evaluation suite reveals the abilities and shortcomings of current parsers.

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