AIBullisharXiv – CS AI · Mar 175/10
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IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction
Researchers introduce IDALC, a semi-supervised framework for voice-controlled dialog systems that improves intent detection and reduces manual annotation costs. The system achieves 5-10% higher accuracy and 4-8% better macro-F1 scores while requiring annotation of only 6-10% of unlabeled data.