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

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.

• Publication year

  2014

• Venue

  MWE@EACL

• Publication date

  2014-04-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.3115/v1/W14-0802
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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