Papers with string-based similarity matching
StructAM: Enhancing Address Matching through Semantic Understanding of Structure-aware Information (2024.lrec-main)
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| Challenge: | Existing approaches to address matching rely on string-based similarity matching or manually-designed rules. |
| Approach: | They propose a method to match unstructured addresses to standard ones in a database using pre-trained language models and graph neural networks. |
| Outcome: | The proposed method outperforms state-of-the-art methods on real-world addresses . it incorporates spatial coordinates and contextual information from the surrounding area as auxiliary guidance. |