Difference between revisions of "English-To-Traditional Chinese Cross-Lingual Link Discovery in Articles with Wikipedia Corpus"

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{{Infobox work
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| title = English-To-Traditional Chinese Cross-Lingual Link Discovery in Articles with Wikipedia Corpus
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| date = 2012
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| authors = [[Liang-Pu Chen]]<br />[[Yu-Lun Shih]]<br />[[Chien-Ting Chen]]<br />[[Tsun Ku]]<br />[[Wen-Tai Hsieh]]<br />[[Hung-Sheng Chiu]]<br />[[Ren-Dar Yang]]
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| link = http://www.aclweb.org/anthology/O12-1016
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}}
 
'''English-To-Traditional Chinese Cross-Lingual Link Discovery in Articles with Wikipedia Corpus''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Liang-Pu Chen]], [[Yu-Lun Shih]], [[Chien-Ting Chen]], [[Tsun Ku]], [[Wen-Tai Hsieh]], [[Hung-Sheng Chiu]] and [[Ren-Dar Yang]].
 
'''English-To-Traditional Chinese Cross-Lingual Link Discovery in Articles with Wikipedia Corpus''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Liang-Pu Chen]], [[Yu-Lun Shih]], [[Chien-Ting Chen]], [[Tsun Ku]], [[Wen-Tai Hsieh]], [[Hung-Sheng Chiu]] and [[Ren-Dar Yang]].
  
 
== Overview ==
 
== Overview ==
 
In this paper, authors design a processing flow to produce linked data in articles, providing anchorbased term’s additional information and related terms in [[different language]]s (English to Chinese). [[Wikipedia]] has been a very important corpus and knowledge bank. Although Wikipedia describes itself not a dictionary or encyclopedia, it is if high potential values in applications and data mining researches. Link discovery is a useful IR application, based on Data Mining and NLP algorithms and has been used in several fields. According to the results of experiment, this method does make the result has improved.
 
In this paper, authors design a processing flow to produce linked data in articles, providing anchorbased term’s additional information and related terms in [[different language]]s (English to Chinese). [[Wikipedia]] has been a very important corpus and knowledge bank. Although Wikipedia describes itself not a dictionary or encyclopedia, it is if high potential values in applications and data mining researches. Link discovery is a useful IR application, based on Data Mining and NLP algorithms and has been used in several fields. According to the results of experiment, this method does make the result has improved.

Revision as of 07:11, 21 September 2020


English-To-Traditional Chinese Cross-Lingual Link Discovery in Articles with Wikipedia Corpus
Authors
Liang-Pu Chen
Yu-Lun Shih
Chien-Ting Chen
Tsun Ku
Wen-Tai Hsieh
Hung-Sheng Chiu
Ren-Dar Yang
Publication date
2012
Links
Original

English-To-Traditional Chinese Cross-Lingual Link Discovery in Articles with Wikipedia Corpus - scientific work related to Wikipedia quality published in 2012, written by Liang-Pu Chen, Yu-Lun Shih, Chien-Ting Chen, Tsun Ku, Wen-Tai Hsieh, Hung-Sheng Chiu and Ren-Dar Yang.

Overview

In this paper, authors design a processing flow to produce linked data in articles, providing anchorbased term’s additional information and related terms in different languages (English to Chinese). Wikipedia has been a very important corpus and knowledge bank. Although Wikipedia describes itself not a dictionary or encyclopedia, it is if high potential values in applications and data mining researches. Link discovery is a useful IR application, based on Data Mining and NLP algorithms and has been used in several fields. According to the results of experiment, this method does make the result has improved.