Investigating the Effects of MWE Identification in Structural Topic Modelling
(2023) 19th Workshop on Multiword Expressions, MWE 2023 In 19th Workshop on Multiword Expressions, MWE 2023 - Proceedings p.36-44- Abstract
Multiword expressions (MWEs) are common word combinations which exhibit idiosyncrasies in various linguistic levels. For various downstream natural language processing applications and tasks, the identification and discovery of MWEs has been proven to be potentially practical and useful, but still challenging to codify. In this paper we investigate various, relevant to MWE, resources and tools for Swedish, and, within a specific application scenario, we apply structural topic modelling to investigate whether there are any interpretative advantages of identifying MWEs.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f244f780-f3c6-41a3-96c7-6b77fa2821a9
- author
- Kokkinakis, Dimitrios ; Sánchez, Ricardo Muñoz ; Bruinsma, Sebastianus C.J. and Hammarlin, Mia Marie LU
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 19th Workshop on Multiword Expressions, MWE 2023 - Proceedings
- series title
- 19th Workshop on Multiword Expressions, MWE 2023 - Proceedings
- pages
- 9 pages
- publisher
- Association for Computational Linguistics
- conference name
- 19th Workshop on Multiword Expressions, MWE 2023
- conference location
- Hybrid, Dubrovnik, Croatia
- conference dates
- 2023-05-06
- external identifiers
-
- scopus:85175258814
- ISBN
- 9781959429593
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2023 Association for Computational Linguistics.
- id
- f244f780-f3c6-41a3-96c7-6b77fa2821a9
- alternative location
- https://aclanthology.org/2023.mwe-1.7.pdf
- date added to LUP
- 2023-12-14 10:17:19
- date last changed
- 2023-12-14 10:18:32
@inproceedings{f244f780-f3c6-41a3-96c7-6b77fa2821a9, abstract = {{<p>Multiword expressions (MWEs) are common word combinations which exhibit idiosyncrasies in various linguistic levels. For various downstream natural language processing applications and tasks, the identification and discovery of MWEs has been proven to be potentially practical and useful, but still challenging to codify. In this paper we investigate various, relevant to MWE, resources and tools for Swedish, and, within a specific application scenario, we apply structural topic modelling to investigate whether there are any interpretative advantages of identifying MWEs.</p>}}, author = {{Kokkinakis, Dimitrios and Sánchez, Ricardo Muñoz and Bruinsma, Sebastianus C.J. and Hammarlin, Mia Marie}}, booktitle = {{19th Workshop on Multiword Expressions, MWE 2023 - Proceedings}}, isbn = {{9781959429593}}, language = {{eng}}, pages = {{36--44}}, publisher = {{Association for Computational Linguistics}}, series = {{19th Workshop on Multiword Expressions, MWE 2023 - Proceedings}}, title = {{Investigating the Effects of MWE Identification in Structural Topic Modelling}}, url = {{https://aclanthology.org/2023.mwe-1.7.pdf}}, year = {{2023}}, }