Papers by Tan Keat
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification (2024.emnlp-industry)
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| Challenge: | Multi-turn intent classification is challenging due to the complexity and evolving nature of conversational contexts . lack of data on multi-turn datasets makes it difficult to collect multi-turned datasets a challenge . |
| Approach: | They propose a framework for multi-turn intent classification that integrates a retrieval-augmented mechanism with a fine-tuned smaller model. |
| Outcome: | The proposed framework improves accuracy on multi-turn intent classification tasks across six languages. |