2024
Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching
EMNLP 2024industry
We propose a novel framework for pretraining and fine-tuning language models with the goal of determining whether two addresses represent the same physical building. Address matching and building authoritative address catalogues are important to many applications and businesses, such as delivery ser…