Investigating the Effects of MWE Identification in Structural Topic Modelling

Dimitrios Kokkinakis, Ricardo Muñoz Sánchez, Sebastianus C.J. Bruinsma, Mia Marie Hammarlin

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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.

Original languageEnglish
Title of host publication19th Workshop on Multiword Expressions, MWE 2023 - Proceedings
PublisherAssociation for Computational Linguistics
Pages36-44
Number of pages9
ISBN (Electronic)9781959429593
Publication statusPublished - 2023
Event19th Workshop on Multiword Expressions, MWE 2023 - Hybrid, Dubrovnik, Croatia
Duration: 2023 May 6 → …

Publication series

Name19th Workshop on Multiword Expressions, MWE 2023 - Proceedings

Conference

Conference19th Workshop on Multiword Expressions, MWE 2023
Country/TerritoryCroatia
CityHybrid, Dubrovnik
Period2023/05/06 → …

Subject classification (UKÄ)

  • Natural Language Processing

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