multilingual-learning

Paper Accepted to EACL 2021

A paper by CopeNLU author is accepted to appear at EACL 2021. The paper aims to bridge the gap between high- and low-resource languages by investigating to what degree cross-lingual models share structural information about languages. Does Typological Blinding Impede Cross-Lingual Sharing?. Johannes Bjerva, Isabelle Augenstein.

2 Papers Accepted to ACL 2020

2 papers by CopeNLU authors are accepted to appear at ACL 2020. One paper is on explainable fact checking, providing the first study of how fact checking explanations can be generated automatically based on claim content, and how this task can be modelled jointly with veracity prediction; whereas the other one is on script conversion, proposing a novel Chinese character conversion model that can disambiguate between mappings and convert between Chinese scripts.

Multilingual Learning

Training models to work well for multiple languages, including low-resource ones