13 citations · 32 across the 11 of their papers we have counts for
5 papers · 1 filter
GeoFitBench-LLM: A Benchmark for Assessing Large Language Models' Capabilities in Geospatial Data Requirements Elicitation for Geo-Analytic Tasks
Amirhossein Vahdat, Thierry Badard, Luc Lamontagne
Large language models are becoming central to GeoAI systems, yet their evaluation rarely considers the elicitation of geospatial data requirements. This omission is critical as ret…
Multinational Address Parsing: A Zero-Shot Evaluation
Marouane Yassine, David Beauchemin, François Laviolette +1
Address parsing consists of identifying the segments that make up an address, such as a street name or a postal code. Because of its importance for tasks like record linkage, addre…
Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations
David Beauchemin, Nicolas Garneau, Eve Gaumond +3
Plumitifs (dockets) were initially a tool for law clerks. Nowadays, they are used as summaries presenting all the steps of a judicial case. Information concerning parties' identity…
Leveraging Subword Embeddings for Multinational Address Parsing
Marouane Yassine, David Beauchemin, François Laviolette +1
Address parsing consists of identifying the segments that make up an address such as a street name or a postal code. Because of its importance for tasks like record linkage, addres…
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks
Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne
We propose a novel way to handle out of vocabulary (OOV) words in downstream natural language processing (NLP) tasks. We implement a network that predicts useful embeddings for OOV…