Difference between revisions of "Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia"
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| − | '''Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia''' - scientific work related to Wikipedia quality published in 2014, written by Shengnan Zhao, Bayar Tsolmon, Kyung-Soon Lee and Young-Seok Lee. | + | {{Infobox work |
| + | | title = Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia | ||
| + | | date = 2014 | ||
| + | | authors = [[Shengnan Zhao]]<br />[[Bayar Tsolmon]]<br />[[Kyung-Soon Lee]]<br />[[Young-Seok Lee]] | ||
| + | | doi = 10.1007/978-981-4585-18-7_40 | ||
| + | | link = https://link.springer.com/content/pdf/10.1007%2F978-981-4585-18-7_40.pdf | ||
| + | }} | ||
| + | '''Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Shengnan Zhao]], [[Bayar Tsolmon]], [[Kyung-Soon Lee]] and [[Young-Seok Lee]]. | ||
== Overview == | == Overview == | ||
| − | Cross-lingual issue news and analyzing the news content is an important and challenging task. The core of the cross-lingual research is the process of translation. In this paper, authors focus on extracting cross-lingual issue news from the Twitter data of Chinese and Korean. Authors propose translation knowledge method for Wikipedia concepts as well as the Chinese and Korean cross-lingual inter-Wikipedia link relations. The relevance relations are extracted from the category and the page title of Wikipedia. The evaluation achieved a performance of 83 % in average precision in the top 10 extracted issue news. The result indicates that method is an effective for cross-lingual issue news detection. | + | Cross-lingual issue news and analyzing the news content is an important and challenging task. The core of the [[cross-lingual]] research is the process of translation. In this paper, authors focus on extracting cross-lingual issue news from the [[Twitter]] data of Chinese and Korean. Authors propose translation knowledge method for [[Wikipedia]] concepts as well as the Chinese and Korean cross-lingual inter-Wikipedia link relations. The relevance relations are extracted from the category and the page title of Wikipedia. The evaluation achieved a performance of 83 % in average precision in the top 10 extracted issue news. The result indicates that method is an effective for cross-lingual issue news detection. |
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| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Zhao, Shengnan; Tsolmon, Bayar; Lee, Kyung-Soon; Lee, Young-Seok. (2014). "[[Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia]]". Springer, Singapore. DOI: 10.1007/978-981-4585-18-7_40. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === English Wikipedia === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | {{cite journal |last1=Zhao |first1=Shengnan |last2=Tsolmon |first2=Bayar |last3=Lee |first3=Kyung-Soon |last4=Lee |first4=Young-Seok |title=Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia |date=2014 |doi=10.1007/978-981-4585-18-7_40 |url=https://wikipediaquality.com/wiki/Chinese_and_Korean_Cross-Lingual_Issue_News_Detection_based_on_Translation_Knowledge_of_Wikipedia |journal=Springer, Singapore}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Zhao, Shengnan; Tsolmon, Bayar; Lee, Kyung-Soon; Lee, Young-Seok. (2014). &quot;<a href="https://wikipediaquality.com/wiki/Chinese_and_Korean_Cross-Lingual_Issue_News_Detection_based_on_Translation_Knowledge_of_Wikipedia">Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia</a>&quot;. Springer, Singapore. DOI: 10.1007/978-981-4585-18-7_40. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | |||
| + | |||
| + | [[Category:Scientific works]] | ||
| + | [[Category:Chinese Wikipedia]] | ||
| + | [[Category:Korean Wikipedia]] | ||
| + | [[Category:Twi Wikipedia]] | ||
Latest revision as of 08:14, 25 January 2021
Authors | Shengnan Zhao Bayar Tsolmon Kyung-Soon Lee Young-Seok Lee |
|---|---|
Publication date | 2014 |
DOI | 10.1007/978-981-4585-18-7_40 |
Links | Original |
Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia - scientific work related to Wikipedia quality published in 2014, written by Shengnan Zhao, Bayar Tsolmon, Kyung-Soon Lee and Young-Seok Lee.
Overview
Cross-lingual issue news and analyzing the news content is an important and challenging task. The core of the cross-lingual research is the process of translation. In this paper, authors focus on extracting cross-lingual issue news from the Twitter data of Chinese and Korean. Authors propose translation knowledge method for Wikipedia concepts as well as the Chinese and Korean cross-lingual inter-Wikipedia link relations. The relevance relations are extracted from the category and the page title of Wikipedia. The evaluation achieved a performance of 83 % in average precision in the top 10 extracted issue news. The result indicates that method is an effective for cross-lingual issue news detection.
Embed
Wikipedia Quality
Zhao, Shengnan; Tsolmon, Bayar; Lee, Kyung-Soon; Lee, Young-Seok. (2014). "[[Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia]]". Springer, Singapore. DOI: 10.1007/978-981-4585-18-7_40.
English Wikipedia
{{cite journal |last1=Zhao |first1=Shengnan |last2=Tsolmon |first2=Bayar |last3=Lee |first3=Kyung-Soon |last4=Lee |first4=Young-Seok |title=Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia |date=2014 |doi=10.1007/978-981-4585-18-7_40 |url=https://wikipediaquality.com/wiki/Chinese_and_Korean_Cross-Lingual_Issue_News_Detection_based_on_Translation_Knowledge_of_Wikipedia |journal=Springer, Singapore}}
HTML
Zhao, Shengnan; Tsolmon, Bayar; Lee, Kyung-Soon; Lee, Young-Seok. (2014). "<a href="https://wikipediaquality.com/wiki/Chinese_and_Korean_Cross-Lingual_Issue_News_Detection_based_on_Translation_Knowledge_of_Wikipedia">Chinese and Korean Cross-Lingual Issue News Detection based on Translation Knowledge of Wikipedia</a>". Springer, Singapore. DOI: 10.1007/978-981-4585-18-7_40.
