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# Who cites «RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation»

6 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/gruzitis-2017-rigotrio-semeval-2017-task-9/)

1. [AMR-To-Text Generation with Graph Transformer](https://aclanthology.org/2020.tacl-1.2/) *— 2020 · Transactions of the Association for Computational Linguistics*
2. [Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines](https://md.mova.elamur.ai/free/en/docs/papers/ranta-2020-abstract-syntax-as-interlingua-scaling/) *— our card · 2020*
3. [Automatic Accuracy Prediction for AMR Parsing](https://aclanthology.org/S19-1024/) *— 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)*
4. [A Graph-to-Sequence Model for AMR-to-Text Generation](https://aclanthology.org/P18-1150/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation](https://aclanthology.org/S17-2090/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
6. cabezudo-2019-natural-language-generation-recently-learned
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