Difference between revisions of "Social Relation Extraction based on Chinese Wikipedia Articles"
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Latest revision as of 10:36, 26 November 2019
Authors | Maofu Liu Yu Xiao Chunwei Lei Xin Zhou |
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Publication date | 2012 |
DOI | 10.1007/978-3-642-36337-5_11 |
Links | Original |
Social Relation Extraction based on Chinese Wikipedia Articles - scientific work related to Wikipedia quality published in 2012, written by Maofu Liu, Yu Xiao, Chunwei Lei and Xin Zhou.
Overview
Authors work in this paper pays more attention to information extraction about social relations from Chinese Wikipedia articles and construction of social relation network. After obtaining the Chinese Wikipedia articles according to the provided person name, locating the relationship description sentences in the Chinese Wikipedia articles and extracting the social relation information based on the sentence semantic parser, authors can construct the social network centered with the provided person name, using the social relation information. The relation set also can be iteratively expanded based on the person names associated with the provided person name in the related Chinese Wikipedia articles.
Embed
Wikipedia Quality
Liu, Maofu; Xiao, Yu; Lei, Chunwei; Zhou, Xin. (2012). "[[Social Relation Extraction based on Chinese Wikipedia Articles]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-36337-5_11.
English Wikipedia
{{cite journal |last1=Liu |first1=Maofu |last2=Xiao |first2=Yu |last3=Lei |first3=Chunwei |last4=Zhou |first4=Xin |title=Social Relation Extraction based on Chinese Wikipedia Articles |date=2012 |doi=10.1007/978-3-642-36337-5_11 |url=https://wikipediaquality.com/wiki/Social_Relation_Extraction_based_on_Chinese_Wikipedia_Articles |journal=Springer, Berlin, Heidelberg}}
HTML
Liu, Maofu; Xiao, Yu; Lei, Chunwei; Zhou, Xin. (2012). "<a href="https://wikipediaquality.com/wiki/Social_Relation_Extraction_based_on_Chinese_Wikipedia_Articles">Social Relation Extraction based on Chinese Wikipedia Articles</a>". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-36337-5_11.