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Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing

Jiawei Zhou, Tahira Naseem, Ramón Fernández Astudillo, Young‐Suk Lee, Radu Florian, Salim Roukos

2021Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing27 citationsDOIOpen Access PDF

Abstract

Predicting linearized

Topics & Concepts

Computer scienceParsingTransformerNatural language processingArtificial intelligenceSentenceGraphLanguage modelEncoderExploitTheoretical computer scienceVoltagePhysicsComputer securityQuantum mechanicsOperating systemTopic ModelingNatural Language Processing TechniquesMachine Learning in Bioinformatics
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing | Litcius