Investigating the Effects of MWE Identification in Structural Topic Modelling
Paper in 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.

Author

Dimitrios Kokkinakis

University of Gothenburg

Ricardo Muñoz Sánchez

University of Gothenburg

Sebastianus Cornelis Jacobus Bruinsma

Chalmers, Computer Science and Engineering (Chalmers), Data Science and AI

Mia Marie Hammarlin

Lund University

19th Workshop on Multiword Expressions, MWE 2023 - Proceedings

36-44
9781959429593 (ISBN)

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

Subject Categories

Language Technology (Computational Linguistics)

Energy Engineering

Control Engineering

More information

Latest update

11/16/2023