TY - GEN
T1 - Investigating the Effects of MWE Identification in Structural Topic Modelling
AU - Kokkinakis, Dimitrios
AU - Sánchez, Ricardo Muñoz
AU - Bruinsma, Sebastianus C.J.
AU - Hammarlin, Mia Marie
N1 - Publisher Copyright:
© 2023 Association for Computational Linguistics.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85175258814&partnerID=8YFLogxK
M3 - Paper in conference proceeding
AN - SCOPUS:85175258814
T3 - 19th Workshop on Multiword Expressions, MWE 2023 - Proceedings
SP - 36
EP - 44
BT - 19th Workshop on Multiword Expressions, MWE 2023 - Proceedings
PB - Association for Computational Linguistics
T2 - 19th Workshop on Multiword Expressions, MWE 2023
Y2 - 6 May 2023
ER -