Paper: Paving the Way to a Large-scale Pseudosense-annotated Dataset

ACL ID N13-1130
Title Paving the Way to a Large-scale Pseudosense-annotated Dataset
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

In this paper we propose a new approach to the generation of pseudowords, i.e., artificial words which model real polysemous words. Our approach simultaneously addresses the two important issues that hamper the gener- ation of large pseudosense-annotated datasets: semantic awareness and coverage. We eval- uate these pseudowords from three different perspectives showing that they can be used as reliable substitutes for their real counterparts.