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ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs

Research article (Findings of the Association for Computational Linguistics: NAACL 2022, 2022) · cited 10× · AI/ML
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ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs

Summary

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs is a scholarly article[1].

Key Facts

  • ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs's instance of is recorded as scholarly article[2].

Related Entities

Baobao Chang

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. Retrieved May 24, 2026, from https://4ort.xyz/entity/atp-amrize-then-parse-enhancing-amr-parsing-with-pseudoamrs
MLA “ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/atp-amrize-then-parse-enhancing-amr-parsing-with-pseudoamrs.
BibTeX @misc{4ortxyz_atp-amrize-then-parse-enhancing-amr-parsing-with-pseudoamrs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs}}, year = {2026}, url = {https://4ort.xyz/entity/atp-amrize-then-parse-enhancing-amr-parsing-with-pseudoamrs}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs — https://4ort.xyz/entity/atp-amrize-then-parse-enhancing-amr-parsing-with-pseudoamrs (retrieved 2026-05-24)

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