Regularization of word embeddings for multi-word expression identification

Berend Gábor: Regularization of word embeddings for multi-word expression identification. In: Acta cybernetica, (23) 3. pp. 801-814. (2018)

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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.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2018
Volume: 23
Number: 3
ISSN: 0324-721X
Page Range: pp. 801-814
Language: English
Place of Publication: Szeged
Related URLs:
Uncontrolled Keywords: Többszavas kifejezések, Nyelvi elemzés, Szóbeágyazások, Nyelvészet - számítógép alkalmazása
Additional Information: Bibliogr.: p. 810-813. ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
06. Humanities
06. Humanities > 06.02. Languages and Literature
Date Deposited: 2018. Nov. 07. 15:08
Last Modified: 2022. Jun. 20. 15:54

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