Difference between revisions of "Enriching the Crosslingual Link Structure of Wikipedia - a Classification-Based Approach"
(Creating a new page - Enriching the Crosslingual Link Structure of Wikipedia - a Classification-Based Approach) |
(Links) |
||
| Line 1: | Line 1: | ||
| − | '''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 10:11, 5 June 2020
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.
