Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Zhang Yibo is active.

Publication


Featured researches published by Zhang Yibo.


Proceedings of the fifth international workshop on on Information retrieval with Asian languages | 2000

PM-based indexing for Chinese text retrieval

Du Lin; Zhang Yibo; Sun Le; Sun Yu-fang; Han Jie

This paper focused on introducing a novel PM indexing schema for Chinese text retrieval. Different with the Western languages, there is no delimiter between words in Chinese texts. The indexing is based either on the characters or on the segmented words. For the word-based indexing, the out-of-vocabulary words, such as the proper nouns, or domain terminology, are usually mis-segmented due to the limited vocabulary coverage of the segmentation dictionaries and thus impair the query precision. In this paper, several indexing and ranking methods, including the novel PM-based ranking, were tested so as to compare their efficiency in dealing with the new words in Chinese text retrieval. The experiment has shown that the query precision of the PM + word method is 10% higher than the word indexing.This paper focused on introducing a novel PM indexing schema for Chinese text retrieval. Different with the Western languages, there is no delimiter between words in Chinese texts. The indexing is based either on the characters or on the segmented words. For the word-based indexing, the out-of-vocabulary words, such as the proper nouns, or domain terminology, are usually mis-segmented due to the limited vocabulary coverage of the segmentation dictionaries and thus impair the query precision. In this paper, several indexing and ranking methods, including the novel PM-based ranking, were tested so as to compare their efficiency in dealing with the new words in Chinese text retrieval. The experiment has shown that the query precision of the PM + word method is 10% higher than the word indexing.


Chemical Research in Chinese Universities | 2018

A Novel Nano-sized Catalyst CeO 2 -CuO/Hollow ZSM-5 for NO x Reduction with NH 3

Yi Ting; Li Jingwei; Zhang Yibo; Yang Xiangguang

Hollow-ZSM-5 was synthesized by a traditional hydrothermal method without alcohol, and a novel na-no-sized Ce-Cu/hollow ZSM-5 sample was prepared by conventional incipient wetness impreganation. The catalysts were characterized by TEM, SEM, XRD, NMR and N2 adsorption-desorption. The results indicate that the hollow-ZSM-5 has a good MFI structure with large surface area. The synthesized CeO2-CuO/hollow ZSM-5 showed an excellent catalytic activity for NOx conversion(90% NOx conversion were obtained) in the temperature range of 340–550 °C under GHSV=480000 mL·g‒1·h‒1 due to its appropriate redox ability and acidity.


Journal of Computer Science and Technology | 2001

The application of the comparable corpora in Chinese-English cross-lingual information retrieval

Du Lin; Zhang Yibo; Sun Le; Sun Yu-fang

This paper proposes a novel Chinese-English Cross-Lingual Information Retrieval (CECLIR) model PME, in which bilingual dictionary and comparable corpora are used to translate the query terms. The proximity and mutual information of the term-pairs in the Chinese and English comparable corpora are employed not only to resolve the translation ambiguities but also to perform the query expansion so as to deal with the out-of-vocabulary issues in the CECLIR. The evaluation results show that the query precision of PME algorithm is about 84.4% of the monolingual information retrieval.This paper proposes a novel Chinese-English Cross-Lingual Information Retrieval (CECLIR) model PME, in which bilingual dictionary and comparable corpora are used to translate the query terms. The proximity and mutual information of the term-pairs in the Chinese and English comparable corpora are employed not only to resolve the translation ambiguities but also to perform the query expansion so as to deal with the out-of-vocabulary issues in the CECLIR. The evaluation results show that the query precision of PME algorithm is about 84.4% of the monolingual information retrieval.


Archive | 2014

Surface-modified lithium-rich manganese material and its preparation method and use in lithium ion battery

Yang Xiangguang; Zhang Bin; Zhang Yibo; Zhang Xingwen; Zhang Zhendong; Miao Zhenzhen; Li Jingwei; Wu Tianxiao; Chen Bin


Archive | 2017

Two-section type catalyst for diesel vehicle exhaust treatment and preparation method of catalyst

Yang Xiangguang; Yi Ting; Zhang Yibo


Archive | 2017

METHOD AND DEVICE FOR PARSING QUESTION IN KNOWLEDGE BASE

Zhao Jun; Liu Kang; He Shizhu; Zhang Yibo


Yingyong Huaxue | 2016

PT/AL_2O_3触媒とCOの触媒性能を,カルバニ法によって調製した。【JST・京大機械翻訳】

Li Jingwei; Wu Tianxiao; Zhang Yibo; Yi Ting; Zhang Zeshu; Sun Liwei; Zhang Zhendong; Yang Xiangguang


Archive | 2016

Method and device for ontology alignment

Liu Kang; Zhao Jun; Wang Xuepeng; Zhang Yibo


Archive | 2016

Method and apparatus for analyzing question based on knowledge base

Zhao Jun; Liu Kang; He Shizhu; Zhang Yibo


Archive | 2016

METHOD AND DEVICE FOR PARSING INTERROGATIVE SENTENCE IN KNOWLEDGE BASE

Zhao Jun; Liu Kang; He Shizhu; Zhang Yibo

Collaboration


Dive into the Zhang Yibo's collaboration.

Top Co-Authors

Avatar

Yang Xiangguang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Li Jingwei

Shanxi Datong University

View shared research outputs
Top Co-Authors

Avatar

Liu Kang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Yi Ting

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

He Shizhu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Du Lin

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Sun Le

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Sun Yu-fang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Han Jie

Chinese Academy of Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge