A grammar-aware quantum NLP pipeline with a custom negation rule classifies Hindi sentiment at 55–73% accuracy on a manually annotated 250-sentence dataset in simulation.
Elec- tronic Proceedings in Theoretical Computer Science340, 213–229 (Sep 2021)
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Extending the Frontiers of QNLP Beyond English: Grammar-Sensitive Pipeline for Hindi Sentiment Classification Using Compositional Quantum Models
A grammar-aware quantum NLP pipeline with a custom negation rule classifies Hindi sentiment at 55–73% accuracy on a manually annotated 250-sentence dataset in simulation.