A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features
Meghdad Farahmand, Ronaldo Teixeira Martins · 2014
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.