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Emotion Intensity and its Control for Emotional Voice Conversion ...
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Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective ...
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An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese Codex ...
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Application of Quantum Density Matrix in Classical Question Answering and Classical Image Classification ...
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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 the inputs are matrixes; (ii) apply the new mechanism to QA problems with Convolutional Neural Network (CNN) and gain the LSTM-based QA model with the quantum density matrix. Experiments of our new model on TREC-QA and WIKI-QA data sets show encouraging results. Similarly, we argue that the quantum density matrix can also enhance the image feature information and the relationship between the features for the classical image classification. Thus, we (i) combine density matrices and CNN to design ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; FOS Physical sciences; Machine Learning cs.LG; Quantum Physics quant-ph
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URL: https://dx.doi.org/10.48550/arxiv.2203.11155 https://arxiv.org/abs/2203.11155
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Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense ...
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126 |
Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios ...
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LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback ...
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128 |
Counterfactual Explanations for Natural Language Interfaces ...
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Probing Speech Emotion Recognition Transformers for Linguistic Knowledge ...
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GreaseLM: Graph REASoning Enhanced Language Models for Question Answering ...
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Position-based Prompting for Health Outcome Generation ...
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Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration ...
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GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records ...
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FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations ...
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Low-dimensional representation of infant and adult vocalization acoustics ...
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Chain-based Discriminative Autoencoders for Speech Recognition ...
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Error Correction in ASR using Sequence-to-Sequence Models ...
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Filter-based Discriminative Autoencoders for Children Speech Recognition ...
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Speaking clearly improves speech segmentation by statistical learning under optimal listening conditions ...
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