March 7, 2024, 5:43 a.m. | X. Q. Zhao, T. L. Chen

cs.LG updates on arXiv.org arxiv.org

arXiv:2203.11155v4 Announce Type: replace-cross
Abstract: Quantum density matrix represents all the information of the entire quantum system, and novel models of meaning employing density matrices naturally model linguistic phenomena such as hyponymy and linguistic ambiguity, among others in quantum question answering tasks. Naturally, we argue that applying the quantum density matrix into classical Question Answering (QA) tasks can show more effective performance. Specifically, we (i) design a new mechanism based on Long Short-Term Memory (LSTM) to accommodate the case when …

abstract arxiv classification cs.cl cs.lg image information matrix meaning network neural network novel quant-ph quantum quantum neural network question question answering tasks the information type

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