3 papers
cs.CL2022
Parsing linearizations appreciate PoS tags - but some are fussy about errors
Alberto Muñoz-Ortiz, Mark Anderson, David Vilares +1
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…
cs.CL2022
Cross-lingual Inflection as a Data Augmentation Method for Parsing
Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, David Vilares
We propose a morphology-based method for low-resource (LR) dependency parsing. We train a morphological inflector for target LR languages, and apply it to related rich-resource (RR…
cs.CL2021
Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing
Alberto Muñoz-Ortiz, Michalina Strzyz, David Vilares
Different linearizations have been proposed to cast dependency parsing as sequence labeling and solve the task as: (i) a head selection problem, (ii) finding a representation of th…