Difference between revisions of "Linking Entities in Tweets to Wikipedia Knowledge Base"

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[[Category:Scientific works]]

Latest revision as of 08:29, 18 June 2020


Linking Entities in Tweets to Wikipedia Knowledge Base
Authors
Xianqi Zou
Chengjie Sun
Yaming Sun
Bingquan Liu
Lei Lin
Publication date
2014
DOI
10.1007/978-3-662-45924-9_33
Links
Original

Linking Entities in Tweets to Wikipedia Knowledge Base - scientific work related to Wikipedia quality published in 2014, written by Xianqi Zou, Chengjie Sun, Yaming Sun, Bingquan Liu and Lei Lin.

Overview

Entity linking has received much more attention. The purpose of entity linking is to link the mentions in the text to the corresponding entities in the knowledge base. Most work of entity linking is aiming at long texts, such as BBS or blog. Microblog as a new kind of social platform, entity linking in which will face many problems. In this paper, authors divide the entity linking task into two parts. The first part is entity candidates' generation and feature extrac- tion. Authors use Wikipedia articles information to generate enough entity candi- dates, and as far as possible eliminate ambiguity candidates to get higher coverage and less quantity. In terms of feature, authors adopt belief propagation, which is based on the topic distribution, to get global feature. The experiment results show that method achieves better performance than that based on common links. When combining global features with local features, the perfor- mance will be obviously improved. The second part is entity candidates ranking. Traditional learning to rank methods have been widely used in entity linking task. However, entity linking does not consider the ranking order of non-target entities. Thus, authors utilize a boosting algorithm of non-ranking method to predict the target entity, which leads to 77.48% accuracy.

Embed

Wikipedia Quality

Zou, Xianqi; Sun, Chengjie; Sun, Yaming; Liu, Bingquan; Lin, Lei. (2014). "[[Linking Entities in Tweets to Wikipedia Knowledge Base]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-662-45924-9_33.

English Wikipedia

{{cite journal |last1=Zou |first1=Xianqi |last2=Sun |first2=Chengjie |last3=Sun |first3=Yaming |last4=Liu |first4=Bingquan |last5=Lin |first5=Lei |title=Linking Entities in Tweets to Wikipedia Knowledge Base |date=2014 |doi=10.1007/978-3-662-45924-9_33 |url=https://wikipediaquality.com/wiki/Linking_Entities_in_Tweets_to_Wikipedia_Knowledge_Base |journal=Springer, Berlin, Heidelberg}}

HTML

Zou, Xianqi; Sun, Chengjie; Sun, Yaming; Liu, Bingquan; Lin, Lei. (2014). &quot;<a href="https://wikipediaquality.com/wiki/Linking_Entities_in_Tweets_to_Wikipedia_Knowledge_Base">Linking Entities in Tweets to Wikipedia Knowledge Base</a>&quot;. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-662-45924-9_33.