Dependency Graph Parsing as Sequence Labeling

Autor:	Ezquerro, Ana, Vilares, David, Gómez-Rodríguez, Carlos
Rok vydání:	2024
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: Accepted at EMNLP-2024
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.17972 Zobrazit plný text záznamu View this record from Arxiv