Difference between revisions of "Open Information Extraction Using Wikipedia"

From Wikipedia Quality
Jump to: navigation, search
(Adding infobox)
(Embed)
Line 9: Line 9:
 
== Overview ==
 
== Overview ==
 
Information-extraction (IE) systems seek to distill semantic relations from natural-language text, but most systems use supervised learning of relation-specific examples and are thus limited by the availability of training data. Open IE systems such as TextRunner, on the other hand, aim to handle the unbounded number of relations found on the Web. But how well can these open systems perform?
 
Information-extraction (IE) systems seek to distill semantic relations from natural-language text, but most systems use supervised learning of relation-specific examples and are thus limited by the availability of training data. Open IE systems such as TextRunner, on the other hand, aim to handle the unbounded number of relations found on the Web. But how well can these open systems perform?
 +
 +
== Embed ==
 +
=== Wikipedia Quality ===
 +
<code>
 +
<nowiki>
 +
Wu, Fei; Weld, Daniel S.. (2010). "[[Open Information Extraction Using Wikipedia]]". Association for Computational Linguistics.
 +
</nowiki>
 +
</code>
 +
 +
=== English Wikipedia ===
 +
<code>
 +
<nowiki>
 +
{{cite journal |last1=Wu |first1=Fei |last2=Weld |first2=Daniel S. |title=Open Information Extraction Using Wikipedia |date=2010 |url=https://wikipediaquality.com/wiki/Open_Information_Extraction_Using_Wikipedia |journal=Association for Computational Linguistics}}
 +
</nowiki>
 +
</code>
 +
 +
=== HTML ===
 +
<code>
 +
<nowiki>
 +
Wu, Fei; Weld, Daniel S.. (2010). &amp;quot;<a href="https://wikipediaquality.com/wiki/Open_Information_Extraction_Using_Wikipedia">Open Information Extraction Using Wikipedia</a>&amp;quot;. Association for Computational Linguistics.
 +
</nowiki>
 +
</code>

Revision as of 11:39, 26 March 2021


Open Information Extraction Using Wikipedia
Authors
Fei Wu
Daniel S. Weld
Publication date
2010
Links
Original

Open Information Extraction Using Wikipedia - scientific work related to Wikipedia quality published in 2010, written by Fei Wu and Daniel S. Weld.

Overview

Information-extraction (IE) systems seek to distill semantic relations from natural-language text, but most systems use supervised learning of relation-specific examples and are thus limited by the availability of training data. Open IE systems such as TextRunner, on the other hand, aim to handle the unbounded number of relations found on the Web. But how well can these open systems perform?

Embed

Wikipedia Quality

Wu, Fei; Weld, Daniel S.. (2010). "[[Open Information Extraction Using Wikipedia]]". Association for Computational Linguistics.

English Wikipedia

{{cite journal |last1=Wu |first1=Fei |last2=Weld |first2=Daniel S. |title=Open Information Extraction Using Wikipedia |date=2010 |url=https://wikipediaquality.com/wiki/Open_Information_Extraction_Using_Wikipedia |journal=Association for Computational Linguistics}}

HTML

Wu, Fei; Weld, Daniel S.. (2010). &quot;<a href="https://wikipediaquality.com/wiki/Open_Information_Extraction_Using_Wikipedia">Open Information Extraction Using Wikipedia</a>&quot;. Association for Computational Linguistics.