Decomposing automotive query understanding into a lightweight classification stage followed by specialized entity extraction yields better accuracy and lower latency than joint single-step processing.
InProceedings of the 2023 Conference on Empirical Methods in Natural Language Process- ing, pages 10443–10461, Singapore
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Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach
Decomposing automotive query understanding into a lightweight classification stage followed by specialized entity extraction yields better accuracy and lower latency than joint single-step processing.