Results 51 to 60 of about 55,011 (275)
Dual Long Short-Term Memory Networks for Sub-Character Representation Learning
Characters have commonly been regarded as the minimal processing unit in Natural Language Processing (NLP). But many non-latin languages have hieroglyphic writing systems, involving a big alphabet with thousands or millions of characters.
Feng, Yi +6 more
core +1 more source
Objective This research article aims to describe the prevalence, associations and health‐related quality‐of‐life (HRQoL) impact of mucocutaneous features of SLE. Methods Data from the Asia‐Pacific Lupus Collaboration cohort were analysed (2013‐2021). Mucocutaneous activity (MC‐A) items were rash, alopecia and mucosal ulcers; defined by the SLEDAI‐2K ...
Amanda M Saracino +42 more
wiley +1 more source
The effect of emotional information on Chinese word segmentation is influenced by word locations
Chinese word segmentation is challenging due to the lack of clear word boundaries. This study investigated how emotional valence and word location affect Chinese word segmentation in vertical reading direction, using overlapping ambiguous strings (OAS ...
Xiaoyang Zou +5 more
doaj +1 more source
Eye movements of second language learners when reading spaced and unspaced Chinese texts
Unlike English, Chinese does not have interword spacing in written texts, which poses difficulties for Chinese-as-a-second-language (CSL) learners’ identification of word boundaries and affects their reading comprehension and vocabulary acquisition.
Yaqiong Cui
doaj +1 more source
Glyph-aware Embedding of Chinese Characters
Given the advantage and recent success of English character-level and subword-unit models in several NLP tasks, we consider the equivalent modeling problem for Chinese.
Cai, Zheng, Dai, Falcon Z.
core +1 more source
Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir +5 more
wiley +1 more source
Named Entity Recognition (NER) is a crucial step in mining information from massive agricultural texts, which is required in the construction of many knowledge-based agricultural support systems, such as agricultural technology question answering systems.
Lilin Zhang +7 more
doaj +1 more source
Study on Chinese Word Segmentation
<p>Search engine technology is widely applied currently, which gradually deepens the research of full-text retrieval technology and Chinese word segmentation technology. Chinese word segmentation is one of the key technologies of Chinese languages information, the quality of which directly affects the information processing efficiency of Chinese ...
openaire +1 more source
Actuating and Sensing Composites of Liquid Crystal Elastomers and Poly(ionic liquid)s
Ionic conductive, mechanically tough, flexible, and stretchable filaments of a composite material comprising a liquid crystal elastomer and a poly(ionic liquid) are produced through 3D printing, which exhibit large actuation strain under stimulation and electrical resistance variation in response to deformation or environmental condition changes. Their
Zeping Liu +6 more
wiley +1 more source
Candidate Term Boundary Conflict Reduction Method for Chinese Geological Text Segmentation
Though Chinese word segmentation (CWS) relies heavily on arithmetic power to train huge models and human work to label corpora, models and algorithms are still less accurate, especially for segmentation in a specific domain.
Yu Tang, Jiqiu Deng, Zhiyong Guo
doaj +1 more source

