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Despite extensive research on parsing of English sentences into Abstraction Meaning Representation (AMR) graphs, which are compared to gold graphs via the Smatch metric, full-document parsing into a unified graph representation lacks well-defined representation and evaluation.
Abstract Meaning Representation for sembanking
Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider. 2013 · 2013
Earlier work this paper cites.
Smatch: an evaluation metric for semantic feature structures
Shu Cai and Kevin Knight. 2013 · 2013
Earlier work this paper cites.
Toward abstractive summarization using semantic representations
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, and Noah A. Smith. 2015 · 2015
Earlier work this paper cites.
Improving coreference resolution by learning entity-level distributed representations
Kevin Clark and Christopher D. Manning. 2016 · 2016
Earlier work this paper cites.
An incremental parser for Abstract Meaning Representation
Marco Damonte, Shay B. Cohen, and Giorgio Satta. 2017 · 2017
Earlier work this paper cites.
AMR beyond the sentence: the multi-sentence AMR corpus
Tim O’Gorman, Michael Regan, Kira Griffitt, Ulf Hermjakob, Kevin Knight, and Martha Palmer. 2018 · 2018
Cited alongside, same era.
Compositional semantic parsing across graphbanks
Matthias Lindemann, Jonas Groschwitz, and Alexander Koller. 2019 · 2019
Cited alongside, same era.
Predicting coreference in Abstract Meaning Representations
Tatiana Anikina, Alexander Koller, and Michael Roth. 2020 · 2020
Cited alongside, same era.
SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
Cited alongside, same era.
Semantic representation for dialogue modeling
Xuefeng Bai, Yulong Chen, Linfeng Song, and Yue Zhang. 2021 · 2021
Closest in time.
End-to-end AMR coreference resolution
Qiankun Fu, Linfeng Song, Wenyu Du, and Yue Zhang. 2021 · 2021
Closest in time.
An analysis of document graph construction method for AMR summarization
Fei-Tzin Lee, Chris Kedzie, Nakul Verma, and Kathleen McKeown. 2021 · 2021
Closest in time.
Structure-aware fine-tuning of sequence-to-sequence transformers for transition-based AMR parsing
Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo, Young-Suk Lee, Radu Florian, and Salim Roukos. 2021 · 2021
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