Investigating the Effects of MWE Identification in Structural Topic Modelling
Paper i proceeding, 2023

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

Göteborgs universitet

Ricardo Muñoz Sánchez

Göteborgs universitet

Sebastianus Cornelis Jacobus Bruinsma

Chalmers, Data- och informationsteknik, Data Science och AI

Mia Marie Hammarlin

Lunds universitet

19th Workshop on Multiword Expressions, MWE 2023 - Proceedings

36-44
9781959429593 (ISBN)

19th Workshop on Multiword Expressions, MWE 2023
Hybrid, Dubrovnik, Croatia,

Ämneskategorier

Språkteknologi (språkvetenskaplig databehandling)

Energiteknik

Reglerteknik

Mer information

Senast uppdaterat

2023-11-16