A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features

Meghdad Farahmand, Ronaldo Martins
2014 Proceedings of the 10th Workshop on Multiword Expressions (MWE)  
We present a method for extracting Multiword Expressions (MWEs) based on the immediate context they occur in, using a supervised model. We show some of these contextual features can be very discriminant and combining them with MWEspecific features results in a relatively accurate extraction. We define context as a sequential structure and not a bag of words, consequently, it becomes much more informative about MWEs.
doi:10.3115/v1/w14-0802 dblp:conf/mwe/FarahmandM14 fatcat:56bcrtb7fnb2jmlpk6dyp4i7li