Results 101 to 110 of about 62,130 (288)

The role of character positional frequency on Chinese word learning during natural reading.

PLoS ONE, 2017
Readers' eye movements were recorded to examine the role of character positional frequency on Chinese lexical acquisition during reading and its possible modulation by word spacing.
Feifei Liang, Hazel I Blythe, Xuejun Bai, Guoli Yan, Xin Li, Chuanli Zang, Simon P Liversedge   +6 more
doaj   +1 more source

WordChange: Adversarial Examples Generation Approach for Chinese Text Classification

IEEE Access, 2020
As an important carrier for disseminating information in the Internet Age, the text contains a large amount of information. In recent years, adversarial example attacks against text discrete domains have been received widespread attention.
Cheng Nuo, Guo-Qin Chang, Haichang Gao, Ge Pei, Yang Zhang   +4 more
doaj   +1 more source

Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation

CoRR, 2017
Character-based sequence labeling framework is flexible and efficient for Chinese word segmentation (CWS). Recently, many character-based neural models have been applied to CWS. While they obtain good performance, they have two obvious weaknesses. The first is that they heavily rely on manually designed bigram feature, i.e.
Chunqi Wang, Bo Xu 0002
openaire   +3 more sources

Neural Networks Incorporating Dictionaries for Chinese Word Segmentation

AAAI Conference on Artificial Intelligence, 2018
In recent years, deep neural networks have achieved significant success in Chinese word segmentation and many other natural language processing tasks.
Qi Zhang, Xiaoyu Liu, Jinlan Fu
semanticscholar   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Neural Chinese Word Segmentation with Dictionary Knowledge [PDF]

, 2018
This paper has been accepted by The Seventh CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2018)
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang 0001, Xing Xie 0001   +4 more
openaire   +2 more sources

Flexible Unusual Ternary‐Component Graded‐Modulus Dielectric Films with High‐Density Capacitive Energy Storage

Advanced Science, EarlyView.
Hierarchical PP–LSR107–BaTiO3 nanocomposite films are fabricated by one‐step extrusion and stretching for roll‐to‐roll manufacture, combining high energy storage and processing flexibility. LSR107 surrounds BaTiO3‐rich regions, locating amorphous PP, decreasing defects, and introducing deep traps that homogenize the electric field and suppress charge ...
Yi Gao, Xin‐Jie Wang, Lei Huang, Kun Xing, Baoquan Wan, Yan‐Hui Song, Jian‐Tao Wang, Li‐Juan Yin, Tong Liang, Yan Meng, Zunpeng Feng, Kai Huang, Ke Bi, Shao‐Long Zhong, Zhi‐Min Dang   +14 more
wiley   +1 more source

Precision Lignocellulosic Biorefinery: Process Regulation From Corn Stover to Products

Advanced Science, EarlyView.
This study presents a precision biorefinery framework that transforms corn stover into high‐value bioproducts through whole‐process regulation. Mechanical fractionation separates feedstock into parenchyma‐rich short fibers and vascular‐bundle‐dominant long fibers.
Xue‐Cheng Lin, Lan Wang, Tai‐Ran Pang, Ming‐Yuan Yin, Hong‐Zhang Chen   +4 more
wiley   +1 more source

Traditional Chinese medicine text segmentation model with multi-metadata embedding based on Bidirectional LSTM

International Journal of Cognitive Computing in Engineering
In recent years, natural language processing (NLP) has gained increasing attention in traditional Chinese medicine (TCM). Chinese word segmentation (CWS) is a fundamental task in NLP, focusing on accurately segmenting words based on context. However, TCM
Dangguo Shao, Nuoyun Duan, Lei Ma, Sanli Yi   +3 more
doaj   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source