Paper: WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation

ACL ID S13-2033
Title WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

We present our system WSD2 which partic- ipated in the Cross-Lingual Word-Sense Dis- ambiguation task for SemEval 2013 (Lefever and Hoste, 2013). The system closely resem- bles our winning system for the same task in SemEval 2010. It is based on k-nearest neigh- bour classifiers which map words with local and global context features onto their transla- tion, i.e. their cross-lingual sense. The sys- tem participated in the task for all five lan- guages and obtained winning scores for four of them when asked to predict the best trans- lation(s). We tested various configurations of our system, focusing on various levels of hy- perparameter optimisation and feature selec- tion. Our final results indicate that hyperpa- rameter optimisation did not lead to the best results, indicating overfittin...