Investigating the Effects of MWE Identification in Structural Topic Modelling

Summary, in English

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.

• Författare: Dimitrios Kokkinakis; Ricardo Muñoz Sánchez; Sebastianus C.J. Bruinsma; Mia Marie Hammarlin
• Avdelning/ar: Birgit Rausing Centrum för Medicinsk Humaniora (BRCMH)
• Publiceringsår: 2023
• Språk: Engelska
• Sidor: 36-44
• Publikation/Tidskrift/Serie: 19th Workshop on Multiword Expressions, MWE 2023 - Proceedings
• Länkar: https://aclanthology.org/2023.mwe-1.7.pdf
• Dokumenttyp: Konferensbidrag
• Förlag: Association for Computational Linguistics
• Ämne: Language Technology (Computational Linguistics)
• Conference name: 19th Workshop on Multiword Expressions, MWE 2023
• Conference date: 2023-05-06
• Conference place: Hybrid, Dubrovnik, Croatia
• Status: Published
• ISBN/ISSN/Övrigt: ISBN: 9781959429593