Dependency Graph Parsing as Sequence Labeling

Ana Ezquerro; David Vilares; Carlos Gómez-Rodríguez

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arXiv · 2410.17972

Dependency Graph Parsing as Sequence Labeling

Ana Ezquerro·David Vilares·Carlos Gómez-Rodríguez

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Abstract

Various linearizations have been proposed to cast syntactic dependency parsing as sequence labeling. However, these approaches do not support more complex graph-based representations, such as semantic dependencies or enhanced universal dependencies, as they cannot handle reentrancy or cycles. By extending them, we define a range of unbounded and bounded linearizations that can be used to cast graph parsing as a tagging task, enlarging the toolbox of problems that can be solved under this paradigm. Experimental results on semantic dependency and enhanced UD parsing show that with a good choice of encoding, sequence-labeling dependency graph parsers combine high efficiency with accuracies close to the state of the art, in spite of their simplicity.

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Ana Ezquerro, David Vilares, Carlos Gómez-Rodríguez. 2024-10-23. Dependency Graph Parsing as Sequence Labeling. https://arxiv.org/abs/2410.17972

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