Berend Gábor: Regularization of word embeddings for multi-word expression identification. In: Acta cybernetica, (23) 3. pp. 801-814. (2018)
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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.
| 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: | http://acta.bibl.u-szeged.hu/55467/ |
| 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 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/55678 |
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