Results 231 to 240 of about 55,011 (275)

Foundation models for X-ray interpretation: a narrative review of current techniques and future perspectives in diagnostic imaging. [PDF]

Quant Imaging Med Surg
Ahmad IS, Suleiman RB, Yu T, Lin R, Zhao C, Liao J, Wu B, Xie Y, Liang X, Wang H, Hu Z.   +10 more
europepmc   +1 more source

Ultrasound in medicine from 2014 to 2024: A bibliometric review. [PDF]

Medicine (Baltimore)
Chenhao Z, Ruqi Z, Xiaozhuo S, Jiabo W, Jiao L, Yajuan M.   +5 more
europepmc   +1 more source

Decoding garden design language via semantic segmentation for social aesthetic interaction. [PDF]

Sci Rep
Wang Y, Zhai Y, Qu C, Zhang F, Li W.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Neural Chinese word segmentation with dictionary

Neurocomputing, 2019
Abstract Chinese word segmentation (CWS) is an important task for Chinese NLP. Recently, many neural network based methods have been proposed for Chinese word segmentation. However, these methods require a large number of labeled sentences for model training, and usually cannot utilize the useful information in Chinese dictionary.
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie   +4 more
openaire   +3 more sources

On the segmentation of Chinese words during reading

Cognitive Psychology, 2009
Given that there are no spaces between words in Chinese, how words are segmented when reading is something of a mystery. Four Chinese characters, which either constituted one 4-character word or two 2-character words, were shown briefly to subjects. Subjects were quite accurate in reporting the 4-character word, but could usually only report the first ...
Xingshan, Li, Keith, Rayner, Kyle R, Cave   +2 more
openaire   +4 more sources

CRFs Based Chinese Word Segmentation

Applied Mechanics and Materials, 2014
Chinese word segmentation is a fundamental problem in natural language processing. CRFs (Conditional Random Fields, CRFs) is an undirected graph model. It can work well with a variety of features, full use of the text information. Thus, this article adopts CRFs based Chinese word segmentation.
Kun Zhi Gui, Yong Ren, Zhao Meng Peng
openaire   +1 more source

Word Segmentation for Chinese Novels

Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Word segmentation is a necessary first step for automaticsyntactic analysis of Chinese text. Chinese segmentationis highly accurate on news data, but the accuraciesdrop significantly on other domains, such as science andliterature. For scientific domains, a significant portionof out-of-vocabulary words are domain-specific terms, and ...
Likun Qiu, Yue Zhang
openaire   +1 more source