Difference between revisions of "Thai Wikipedia Link Suggestion Framework"

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== Overview ==
 
== Overview ==
 
The paper presents a framework that exploits the Thai [[Wikipedia]] articles as a knowledge source to train the machine learning classifier for link suggestion purpose. Given an input document, important concepts in the text have been automatically extracted, and the chosen corresponding Wikipedia pages have been determined and suggested to be the destination links for additional information. Preliminary experiments from the prototype running on a test set of Thai Wikipedia articles show that this automatic link suggestion framework provides reasonably up to 90 % link suggestion accuracy.
 
The paper presents a framework that exploits the Thai [[Wikipedia]] articles as a knowledge source to train the machine learning classifier for link suggestion purpose. Given an input document, important concepts in the text have been automatically extracted, and the chosen corresponding Wikipedia pages have been determined and suggested to be the destination links for additional information. Preliminary experiments from the prototype running on a test set of Thai Wikipedia articles show that this automatic link suggestion framework provides reasonably up to 90 % link suggestion accuracy.
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== Embed ==
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=== Wikipedia Quality ===
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Rungsawang, Arnon; Siangkhio, Sompop; Surarerk, Athasit; Manaskasemsak, Bundit. (2013). "[[Thai Wikipedia Link Suggestion Framework]]". Springer, Dordrecht. DOI: 10.1007/978-94-007-6996-0_38.
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=== English Wikipedia ===
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{{cite journal |last1=Rungsawang |first1=Arnon |last2=Siangkhio |first2=Sompop |last3=Surarerk |first3=Athasit |last4=Manaskasemsak |first4=Bundit |title=Thai Wikipedia Link Suggestion Framework |date=2013 |doi=10.1007/978-94-007-6996-0_38 |url=https://wikipediaquality.com/wiki/Thai_Wikipedia_Link_Suggestion_Framework |journal=Springer, Dordrecht}}
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=== HTML ===
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Rungsawang, Arnon; Siangkhio, Sompop; Surarerk, Athasit; Manaskasemsak, Bundit. (2013). &amp;quot;<a href="https://wikipediaquality.com/wiki/Thai_Wikipedia_Link_Suggestion_Framework">Thai Wikipedia Link Suggestion Framework</a>&amp;quot;. Springer, Dordrecht. DOI: 10.1007/978-94-007-6996-0_38.
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Revision as of 07:46, 19 November 2020


Thai Wikipedia Link Suggestion Framework
Authors
Arnon Rungsawang
Sompop Siangkhio
Athasit Surarerk
Bundit Manaskasemsak
Publication date
2013
DOI
10.1007/978-94-007-6996-0_38
Links
Original

Thai Wikipedia Link Suggestion Framework - scientific work related to Wikipedia quality published in 2013, written by Arnon Rungsawang, Sompop Siangkhio, Athasit Surarerk and Bundit Manaskasemsak.

Overview

The paper presents a framework that exploits the Thai Wikipedia articles as a knowledge source to train the machine learning classifier for link suggestion purpose. Given an input document, important concepts in the text have been automatically extracted, and the chosen corresponding Wikipedia pages have been determined and suggested to be the destination links for additional information. Preliminary experiments from the prototype running on a test set of Thai Wikipedia articles show that this automatic link suggestion framework provides reasonably up to 90 % link suggestion accuracy.

Embed

Wikipedia Quality

Rungsawang, Arnon; Siangkhio, Sompop; Surarerk, Athasit; Manaskasemsak, Bundit. (2013). "[[Thai Wikipedia Link Suggestion Framework]]". Springer, Dordrecht. DOI: 10.1007/978-94-007-6996-0_38.

English Wikipedia

{{cite journal |last1=Rungsawang |first1=Arnon |last2=Siangkhio |first2=Sompop |last3=Surarerk |first3=Athasit |last4=Manaskasemsak |first4=Bundit |title=Thai Wikipedia Link Suggestion Framework |date=2013 |doi=10.1007/978-94-007-6996-0_38 |url=https://wikipediaquality.com/wiki/Thai_Wikipedia_Link_Suggestion_Framework |journal=Springer, Dordrecht}}

HTML

Rungsawang, Arnon; Siangkhio, Sompop; Surarerk, Athasit; Manaskasemsak, Bundit. (2013). &quot;<a href="https://wikipediaquality.com/wiki/Thai_Wikipedia_Link_Suggestion_Framework">Thai Wikipedia Link Suggestion Framework</a>&quot;. Springer, Dordrecht. DOI: 10.1007/978-94-007-6996-0_38.