Cross-lingual Constituency Parsing with Linguistic Typology Knowledge

Abstract

Cross-lingual Transfer learning (CLT) has successfully been applied to the dependency parsing task. This is the first work that evaluates a CLT based approach to the Constituency parsing task. Furthermore, we utilized the linguistic typology knowledge in WALS database to improve the cross-lingual transferring ability of our proposed parser.

Tasks

Reproductions