ℓ 1 Regularization of Word Embeddings for Multi-Word Expression Identification

  • Gábor Berend
Keywords: multi-word expression identification

Abstract

In this paper we compare the effects of applying various state-of-the-art word representation strategies in the task of multi-word expression (MWE) identification. In particular, we analyze the strengths and weaknesses of the usage of `1-regularized sparse word embeddings for identifying MWEs. Our earlier study demonstrated the effectiveness of regularized word embeddings in other sequence labeling tasks, i.e. part-of-speech tagging and named entity recognition, but it has not yet been rigorously evaluated for the identification of MWEs yet.

Published
2018-01-01
How to Cite
Berend, G. (2018). ℓ 1 Regularization of Word Embeddings for Multi-Word Expression Identification. Acta Cybernetica, 23(3), 801-813. https://doi.org/10.14232/actacyb.23.3.2018.5
Section
Regular articles