no code implementations • 25 Aug 2023 • Harish Tayyar Madabushi, Laurence Romain, Petar Milin, Dagmar Divjak
In this chapter, we explore three distinct approaches to the interplay between computational methods and Construction Grammar: (i) computational methods for text analysis, (ii) computational Construction Grammar, and (iii) deep learning models, with a particular focus on language models.
1 code implementation • NAACL 2022 • Harish Tayyar Madabushi, Dagmar Divjak, Petar Milin
Article prediction is a task that has long defied accurate linguistic description.
no code implementations • 14 Dec 2020 • Petar Milin, Benjamin V. Tucker, Dagmar Divjak
A process of generalization underlies the abstractions linguists operate with, and we probed whether MBL and ECL could give rise to a type of language knowledge that resembles linguistic abstractions.
1 code implementation • COLING 2020 • Harish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, Petar Milin
BERT's training objectives give it access to a tremendous amount of lexico-semantic information, and while BERTology has shown that BERT captures certain important linguistic dimensions, there have been no studies exploring the extent to which BERT might have access to constructional information.
1 code implementation • 8 Mar 2020 • Petar Milin, Harish Tayyar Madabushi, Michael Croucher, Dagmar Divjak
In this paper we present the Widrow-Hoff rule and its applications to language data.
