Type

Conference Proceedings

Authors

Josef van Genabith
Mark Dras
Jennifer Foster
Teresa Lynn

Subjects

Linguistics

Topics
working trees dependency language parsing dataset computational linguistics irish language self training

Working with a small dataset - semi-supervised dependency parsing for Irish (2013)

Abstract We present a number of semi-supervised pars- ing experiments on the Irish language carried out using a small seed set of manually parsed trees and a larger, yet still relatively small, set of unlabelled sentences. We take two popular dependency parsers – one graph-based and one transition-based – and compare results for both. Results show that using semi- supervised learning in the form of self-training and co-training yields only very modest improvements in parsing accuracy. We also try to use morphological information in a targeted way and fail to see any improvements.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools
Ireland -> Dublin City University -> Subject = Humanities: Irish language
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Computational linguistics
Ireland -> Dublin City University -> Subject = Humanities
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing

Full list of authors on original publication

Josef van Genabith, Mark Dras, Jennifer Foster, Teresa Lynn

Experts in our system

1
Jennifer Foster
Dublin City University
Total Publications: 53
 
2
Teresa Lynn
Dublin City University
Total Publications: 20