BERT-Residual Quantum Language Model Inspired by ODE Multi-Step Method
Quantum-inspired language models model finer-grained semantic interactions in higher-order Hilbert spaces. However, previous methods usually capture semantic features based on context-free word vectors such as Word2Vec and GloVe. Building on natural language encoding, incorporating quantum-inspired...
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Main Authors: | Shaohui Liang, Yingkui Wang, Shuxin Chen |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10852213/ |
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