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Investigating the Effects of MWE Identification in Structural Topic Modelling

Kokkinakis, Dimitrios ; Sánchez, Ricardo Muñoz ; Bruinsma, Sebastianus C.J. and Hammarlin, Mia Marie LU orcid (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:
author
; ; and
organization
publishing date
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}},
}