3 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
Metadata Might Make Language Models Better
Kaspar Beelen, Daniel van Strien
This paper discusses the benefits of including metadata when training language models on historical collections. Using 19th-century newspapers as a case study, we extend the time-m…
Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
Francesco De Toni, Christopher Akiki, Javier de la Rosa +4
In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution languages and time periods…
Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
Angelina McMillan-Major, Zaid Alyafeai, Stella Biderman +15
In recent years, large-scale data collection efforts have prioritized the amount of data collected in order to improve the modeling capabilities of large language models. This prio…
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
Mariona Coll Ardanuy, Kasra Hosseini, Katherine McDonough +3
Recognizing toponyms and resolving them to their real-world referents is required for providing advanced semantic access to textual data. This process is often hindered by the high…