Papers by Deepak Zambre
ASTRA: Automatic Schema Matching using Machine Translation (2024.emnlp-industry)
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| Challenge: | Currently, eCommerce platforms use schema matching to structure product information from disparate sources. |
| Approach: | They propose to model the schema matching problem as a neural machine translation task . they propose to use open-source seq2seq models fine-tuned on product attribute mappings to build a framework . |
| Outcome: | The proposed model achieves a significant performance boost (15% precision and 7% recall uplift) it can support new attributes with precision 95% using only five labeled samples per attribute. |