Parsing linearizations appreciate PoS tags - but some are fussy about errors

Alberto Muñoz-Ortiz, Mark Anderson, David Vilares, Carlos Gómez-Rodríguez

Abstract
PoS tags, once taken for granted as a useful resource for syntactic parsing, have become more situational with the popularization of deep learning. Recent work on the impact of PoS tags on graph- and transition-based parsers suggests that they are only useful when tagging accuracy is prohibitively high, or in low-resource scenarios. However, such an analysis is lacking for the emerging sequence labeling parsing paradigm, where it is especially relevant as some models explicitly use PoS tags for encoding and decoding. We undertake a study and uncover some trends. Among them, PoS tags are generally more useful for sequence labeling parsers than for other paradigms, but the impact of their accuracy is highly encoding-dependent, with the PoS-based head-selection encoding being best only when both tagging accuracy and resource availability are high.
Anthology ID:
2022.aacl-short.16
Volume:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
November
Year:
2022
Address:
Online only
Editors:
Yulan He, Heng Ji, Sujian Li, Yang Liu, Chua-Hui Chang
Venues:
AACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
117–127
Language:
URL:
https://aclanthology.org/2022.aacl-short.16
DOI:
Bibkey:
Cite (ACL):
Alberto Muñoz-Ortiz, Mark Anderson, David Vilares, and Carlos Gómez-Rodríguez. 2022. Parsing linearizations appreciate PoS tags - but some are fussy about errors. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 117–127, Online only. Association for Computational Linguistics.
Cite (Informal):
Parsing linearizations appreciate PoS tags - but some are fussy about errors (Muñoz-Ortiz et al., AACL-IJCNLP 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/emnlp-22-attachments/2022.aacl-short.16.pdf
PDF Search