Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages
Alan Akbik, Vishwajeet Kumar, Yunyao Li · 2016
Annotation projection based on parallel corpora has shown great promise in inexpensively creating Proposition Banks for languages for which high-quality parallel corpora and syntactic parsers are available.In this paper, we present an experimental study where we apply this approach to three languages that lack such resources: Tamil, Bengali and Malayalam.We find an average quality difference of 6 to 20 absolute F-measure points vis-avis high-resource languages, which indicates that annotation projection alone is insufficient in low-resource scenarios.Based on these results, we explore the possibility of using annotation projection as a starting point for inexpensive data curation involving both experts and non-experts.We give an outline of what such a process may look like and present an initial study to discuss its potential and challenges.