Enriching the Crosslingual Link Structure of Wikipedia - a Classification-Based Approach
Authors | Philipp Sorg Philipp Cimiano |
|---|---|
Publication date | 2008 |
Links | Original |
Enriching the Crosslingual Link Structure of Wikipedia - a Classification-Based Approach - scientific work related to Wikipedia quality published in 2008, written by Philipp Sorg and Philipp Cimiano.
Overview
The crosslingual link structure of Wikipedia represents a valuable resource which can be exploited for crosslingual natural language processing applications. However, this requires that it has a reasonable coverage and is furthermore accurate. For the specific language pair German/English that authors consider in experiments, authors show that roughly 50% of the articles are linked from German to English and only 14% from English to German. These figures clearly corroborate the need for an approach to automatically induce new cross-language links, especially in the light of such a dynamically growing resource such as Wikipedia. In this paper authors present a classification-based approach with the goal of inferring new cross-language links. Authors experiments show that this approach has a recall of 70% with a precision of 94% for the task of learning cross-language links on a test dataset.
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Wikipedia Quality
Sorg, Philipp; Cimiano, Philipp. (2008). "[[Enriching the Crosslingual Link Structure of Wikipedia - a Classification-Based Approach]]".
English Wikipedia
{{cite journal |last1=Sorg |first1=Philipp |last2=Cimiano |first2=Philipp |title=Enriching the Crosslingual Link Structure of Wikipedia - a Classification-Based Approach |date=2008 |url=https://wikipediaquality.com/wiki/Enriching_the_Crosslingual_Link_Structure_of_Wikipedia_-_a_Classification-Based_Approach}}
HTML
Sorg, Philipp; Cimiano, Philipp. (2008). "<a href="https://wikipediaquality.com/wiki/Enriching_the_Crosslingual_Link_Structure_of_Wikipedia_-_a_Classification-Based_Approach">Enriching the Crosslingual Link Structure of Wikipedia - a Classification-Based Approach</a>".
