no code implementations • 16 Mar 2024 • Jonathan Dunn, Benjamin Adams, Harish Tayyar Madabushi
This paper measures the skew in how well two families of LLMs represent diverse geographic populations.
no code implementations • 21 Aug 2023 • Sidney G. -J. Wong, Jonathan Dunn, Benjamin Adams
This paper describes a preliminary study on the comparative linguistic ecology of online spaces (i. e., social media language data) and real-world spaces in Aotearoa New Zealand (i. e., subnational administrative areas).
no code implementations • 20 Aug 2023 • Sidney G. -J. Wong, Matthew Durward, Benjamin Adams, Jonathan Dunn
We retrained a transformer-based crosslanguage pretrained language model, XLMRoBERTa, with spatially and temporally relevant social media language data.
no code implementations • 16 Sep 2021 • Benjamin Adams, Richard Hosking
The vast amount of research produced at institutions world-wide is extremely diverse, and coarse-grained quantitative measures of impact often obscure the individual contributions of these institutions to specific research fields and topics.
no code implementations • EMNLP (NLP+CSS) 2020 • Jonathan Dunn, Tom Coupe, Benjamin Adams
Computational measures of linguistic diversity help us understand the linguistic landscape using digital language data.
no code implementations • 18 Oct 2020 • Benjamin Adams, Mark Gahegan
In Spatial Data Infrastructure or Cyber Infrastructure, the description of geographic data semantics is intended to support data discovery, reuse and integration.
no code implementations • 18 May 2020 • Grant McKenzie, Benjamin Adams
In this work the differences in these place-based activity patterns are investigated across nations, specifically focusing on the relationship between government enacted policies and changes in community activity patterns.
Social and Information Networks Computers and Society