Papers with deep learning components
Who wrote this book? A challenge for e-commerce (D19-55)
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| Challenge: | Modern e-commerce catalogs contain millions of references, associated with textual and visual information that is of paramount importance for the products to be found via textual or visual search. |
| Approach: | They propose a composite system that uses open data sources and deep learning components to solve this problem. |
| Outcome: | The proposed system is based on product data from Rakuten France . it is found that the top proposal has a 72% accuracy . |
Addressing Limitations of Encoder-Decoder Based Approach to Text-to-SQL (2022.coling-1)
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| Challenge: | Existing attempts on Text-to-SQL task show a dramatic decline in performance for new databases. |
| Approach: | They propose a hybrid system that integrates rule-based and deep learning components to improve model accuracy. |
| Outcome: | The proposed system achieves double-digit percentage improvement for non-Spider databases. |