Difference between revisions of "Enriching the Crosslingual Link Structure of Wikipedia - a Classification-Based Approach"
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| + | | title = Enriching the Crosslingual Link Structure of Wikipedia - a Classification-Based Approach | ||
| + | | date = 2008 | ||
| + | | authors = [[Philipp Sorg]]<br />[[Philipp Cimiano]] | ||
| + | | link = https://www.aaai.org/Papers/Workshops/2008/WS-08-15/WS08-15-009.pdf | ||
| + | }} | ||
'''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]]. | '''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 == | == 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. | 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. | ||
Revision as of 13:04, 27 November 2020
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.
