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1
Regular languages extended with reduplication: Formal models, proofs and illustrations
Wang, Yang. - : eScholarship, University of California, 2021
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2
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
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3
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
Zhang, Qiyuan; Wang, Lei; Yu, Sicheng. - : arXiv, 2021
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4
Recognizing Reduplicated Forms: Finite-State Buffered Machines ...
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5
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network ...
Ye, Linwei; Rochan, Mrigank; Liu, Zhi. - : arXiv, 2021
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6
A Sequence-to-Sequence Approach to Dialogue State Tracking ...
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7
Assessment of Use and Fit of Face Masks Among Individuals in Public During the COVID-19 Pandemic in China
In: JAMA Netw Open (2021)
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8
Dual Convolutional LSTM Network for Referring Image Segmentation ...
Ye, Linwei; Liu, Zhi; Wang, Yang. - : arXiv, 2020
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9
Natural language guided image and video understanding
Ye, Linwei. - 2020
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10
Cross-Modal Self-Attention Network for Referring Image Segmentation ...
Abstract: We consider the problem of referring image segmentation. Given an input image and a natural language expression, the goal is to segment the object referred by the language expression in the image. Existing works in this area treat the language expression and the input image separately in their representations. They do not sufficiently capture long-range correlations between these two modalities. In this paper, we propose a cross-modal self-attention (CMSA) module that effectively captures the long-range dependencies between linguistic and visual features. Our model can adaptively focus on informative words in the referring expression and important regions in the input image. In addition, we propose a gated multi-level fusion module to selectively integrate self-attentive cross-modal features corresponding to different levels in the image. This module controls the information flow of features at different levels. We validate the proposed approach on four evaluation datasets. Our proposed approach consistently ... : Accepted to CVPR2019 ...
Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
URL: https://arxiv.org/abs/1904.04745
https://dx.doi.org/10.48550/arxiv.1904.04745
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11
A critical review of 'English' in China's English education: How far can Chinese teachers embrace ELF?
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12
DeepDDK: A Deep Learning based Oral-Diadochokinesis Analysis Software
In: IEEE EMBS Int Conf Biomed Health Inform (2019)
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13
Translation Analysis of Metaphor Translation in the Black Slaves
In: Cross-Cultural Communication; Vol 15, No 4 (2019): Cross-Cultural Communication; 11-14 ; 1923-6700 ; 1712-8358 (2019)
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14
Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data ...
Li, Hao; Wang, Yang; Liu, Xinyu. - : arXiv, 2018
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15
Relations Between Self-Reported Daily-Life Fatigue, Hearing Status, and Pupil Dilation During a Speech Perception in Noise Task
In: Ear Hear (2018)
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16
The Pupil Dilation Response During Speech Perception in Dark and Light: The Involvement of the Parasympathetic Nervous System in Listening Effort
Wang, Yang; Kramer, Sophia E.; Wendt, Dorothea. - : SAGE Publications, 2018
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17
Immigrants’ Use of eHealth Services in the United States, National Health Interview Survey, 2011-2015
Wang, Yang; Do, D. Phuong; Wilson, Fernando A.. - : SAGE Publications, 2018
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18
Relations between self-reported daily-life fatigue, hearing status and pupil dilation during a speech perception in noise task
Wang, Yang; Naylor, Graham; Kramer, Sophia E.. - : Lippincott, Williams & Wilkins, 2018
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19
Relations between self-reported daily-life fatigue, hearing status, and pupil dilation during a speech perception in noise task
Wang, Yang; Naylor, Graham; Kramer, Sophia E.. - : Lippincott, Williams & Wilkins, 2018
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20
Application of polyscale methods for speaker verification
Sedigh, Sina. - 2018
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