Results 71 to 80 of about 62,130 (288)
BMC PsychologyUnlike alphabetic language, Chinese is an ideographic language that does not contain spaces between words. Chinese readers must develop unique segmentation strategies for word recognition and reading comprehension.
Mingjing Chen +3 more
doaj +1 more source
MIFM: Multi-Granularity Information Fusion Model for Chinese Named Entity Recognition
IEEE Access, 2019 Chinese Named Entity Recognition (Chinese NER) is an important task in Chinese natural language processing field. It is difficult to identify the boundary of entities because Chinese texts lack natural delimiters to separate words.
Naixin Zhang +3 more
doaj +1 more source
Applying the Bell’s Test to Chinese Texts
Entropy, 2020 Search engines are able to find documents containing patterns from a query. This approach can be used for alphabetic languages such as English. However, Chinese is highly dependent on context.
Igor A. Bessmertny +4 more
doaj +1 more source
Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition
Journal of Biomedical Informatics, 2020 OBJECTIVE This study aims at realizing unsupervised term discovery in Chinese electronic health records (EHRs) by using the word segmentation technique.
Zheng Yuan +6 more
semanticscholar +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Long Short-Term Memory Neural Networks for Chinese Word Segmentation
Conference on Empirical Methods in Natural Language Processing, 2015 Currently most of state-of-the-art methods for Chinese word segmentation are based on supervised learning, whose features aremostly extracted from a local context.
Xinchi Chen +4 more
semanticscholar +1 more source
Crystal Growth Engineering for Dendrite‐Free Zinc Metal Plating
Advanced Materials, EarlyView.This research employed the rare‐earth ion dysprosium (Dy) to modulate aqueous zinc (Zn) metal plating. Integrated multiscale experiments and computational modeling unveiled the preferential adsorption of Dy on specific crystal facets, which activated screw dislocation‐driven Zn growth.
Guifang Zeng +10 more
wiley +1 more source
Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks
BMC Bioinformatics, 2019 Background Benefiting from big data, powerful computation and new algorithmic techniques, we have been witnessing the renaissance of deep learning, particularly the combination of natural language processing (NLP) and deep neural networks.
Xiaozheng Li +5 more
doaj +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source