Papers by Arpan Paul
Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching (2024.emnlp-industry)
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| Challenge: | Existing approaches to address matching and building authoritative address catalogues are limited in data quality and require labeling effort to develop accurate models. |
| Approach: | They propose to view addresses as an address graph and curate inputs by placing geospatially linked addresses in the same context. |
| Outcome: | The proposed framework improves address matching and fine-tuning language models. |