QTP-Net concatenates probabilities from an adaptive Grover circuit with ERNIE embeddings and reports 0.024 average accuracy gain on sentiment classification and 0.784 F1 on word sense disambiguation.
Multipolarity-based sentiment classifica- tion using hybrid HDL-Fuzzy-RMDL network,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
quant-ph 1years
2025 1verdicts
REJECT 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing
QTP-Net concatenates probabilities from an adaptive Grover circuit with ERNIE embeddings and reports 0.024 average accuracy gain on sentiment classification and 0.784 F1 on word sense disambiguation.