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Recent work on multilingual AMR-to-text generation has exclusively focused on data augmentation strategies that utilize silver AMR.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Europarl: A Parallel Corpus for Statistical Machine Translation
Philipp Koehn. 2005 · 2005
Earlier work this paper cites.
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.
Meteor universal: Language specific translation evaluation for any target language
Michael Denkowski and Alon Lavie. 2014 · 2014
Earlier work this paper cites.
Comparing Czech and English AMRs
Jan Hajič, Ondřej Bojar, and Zdeňka Urešová. 2014 · 2014
Earlier work this paper cites.
Um-corpus: A large english-chinese parallel corpus for statistical machine translation
Liang Tian, Derek F. Wong, Lidia S. Chao, Paulo Quaresma, Francisco Oliveira, and Lu Yi. 2014 · 2014
Earlier work this paper cites.
Not an interlingua, but close: Comparison of English AMRs to Chinese and Czech
Nianwen Xue, Ondřej Bojar, Jan Hajič, Martha Palmer, Zdeňka Urešová, and Xiuhong Zhang. 2014 · 2014
Earlier work this paper cites.
chrF: character n-gram F-score for automatic MT evaluation
Maja Popović. 2015 · 2015
Earlier work this paper cites.
Neural AMR: Sequence-to-sequence models for parsing and generation
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Graph-to-sequence learning using gated graph neural networks
Daniel Beck, Gholamreza Haffari, and Trevor Cohn. 2018 · 2018
Earlier work this paper cites.
Cross-lingual Abstract Meaning Representation parsing
Marco Damonte and Shay B. Cohen. 2018 · 2018
Earlier work this paper cites.
Guided neural language generation for abstractive summarization using Abstract Meaning Representation
Hardy Hardy and Andreas Vlachos. 2018 · 2018
Earlier work this paper cites.
Annotating Abstract Meaning Representations for Spanish
Noelia Migueles-Abraira, Rodrigo Agerri, and Arantza Diaz de Ilarraza. 2018 · 2018
Cited alongside, same era.
The first multilingual surface realisation shared task (SR’18): Overview and evaluation results
Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, Emily Pitler, and Leo Wanner. 2018 · 2018
Cited alongside, same era.
Adafactor: Adaptive learning rates with sublinear memory cost
Noam Shazeer and Mitchell Stern. 2018 · 2018
Cited alongside, same era.
A graph-to-sequence model for AMR-to-text generation
Linfeng Song, Yue Zhang, Zhiguo Wang, and Daniel Gildea. 2018 · 2018
Cited alongside, same era.
Practical semantic parsing for spoken language understanding
Marco Damonte, Rahul Goel, and Tagyoung Chung. 2019 · 2019
Cited alongside, same era.
Densely connected graph convolutional networks for graph-to-sequence learning
Multilingual AMR-to-text generation
Angela Fan and Claire Gardent. 2020 · 2020
Later among the works it cites.
Have your text and use it too! end-to-end neural data-to-text generation with semantic fidelity
Hamza Harkous, Isabel Groves, and Amir Saffari. 2020 · 2020
Later among the works it cites.
Gpt-too: A language-model-first approach for amr-to-text generation
Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md. Arafat Sultan, Young-Suk Lee, Radu Florian, and Salim Roukos. 2020 · 2020
Later among the works it cites.
AMR-to-text generation with graph transformer
Tianming Wang, Xiaojun Wan, and Hanqi Jin. 2020 · 2020
Later among the works it cites.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
Later among the works it cites.
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Zhijiang Guo, Yan Zhang, Zhiyang Teng, and Wei Lu. 2019 · 2019
Cited alongside, same era.
The second multilingual surface realisation shared task (SR’19): Overview and evaluation results
Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, and Leo Wanner. 2019 · 2019
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2019 · 2019
Cited alongside, same era.
Enhancing AMR-to-text generation with dual graph representations
Leonardo F. R. Ribeiro, Claire Gardent, and Iryna Gurevych. 2019 · 2019
Cited alongside, same era.
Towards a general Abstract Meaning Representation corpus for Brazilian Portuguese
Marco Antonio Sobrevilla Cabezudo and Thiago Pardo. 2019 · 2019
Cited alongside, same era.
Towards universal semantic representation
Huaiyu Zhu, Yunyao Li, and Laura Chiticariu. 2019 · 2019
Cited alongside, same era.
XL-AMR: Enabling cross-lingual AMR parsing with transfer learning techniques
Rexhina Blloshmi, Rocco Tripodi, and Roberto Navigli. 2020 · 2020
Cited alongside, same era.
Bertscore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Later among the works it cites.
One spring to rule them both: Symmetric amr semantic parsing and generation without a complex pipeline
Michele Bevilacqua, Rexhina Blloshmi, and Roberto Navigli. 2021 · 2021
Closest in time.
End-to-end AMR corefencence resolution
Qiankun Fu, Linfeng Song, Wenyu Du, and Yue Zhang. 2021 · 2021
Closest in time.
Structural adapters in pretrained language models for amr-to-text generation
Leonardo F. R. Ribeiro, Yue Zhang, and Iryna Gurevych. 2021 · 2021
Closest in time.
Modeling graph structure via relative position for text generation from knowledge graphs
Martin Schmitt, Leonardo F. R. Ribeiro, Philipp Dufter, Iryna Gurevych, and Hinrich Schütze. 2021 · 2021
Closest in time.
Bootstrapping multilingual AMR with contextual word alignments
Janaki Sheth, Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Radu Florian, Salim Roukos, and Todd Ward. 2021 · 2021
Closest in time.
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
Closest in time.