2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2022
What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris
Mikael Brunila, Jack LaViolette
The power of word embeddings is attributed to the linguistic theory that similar words will appear in similar contexts. This idea is specifically invoked by noting that "you shall…
cs.CL2021
WMDecompose: A Framework for Leveraging the Interpretable Properties of Word Mover's Distance in Sociocultural Analysis
Mikael Brunila, Jack LaViolette
Despite the increasing popularity of NLP in the humanities and social sciences, advances in model performance and complexity have been accompanied by concerns about interpretabilit…
cs.CL2021★ 2 cited
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management
Mikael Brunila, Rosie Zhao, Andrei Mircea +2
Social media such as Twitter provide valuable information to crisis managers and affected people during natural disasters. Machine learning can help structure and extract informati…