Difference between revisions of "Topic Identification Using Wikipedia Graph Centrality"
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| + | {{Infobox work | ||
| + | | title = Topic Identification Using Wikipedia Graph Centrality | ||
| + | | date = 2009 | ||
| + | | authors = [[Kino Coursey]]<br />[[Rada Mihalcea]] | ||
| + | | doi = 10.3115/1620853.1620887 | ||
| + | | link = http://dl.acm.org/citation.cfm?id=1620853.1620887 | ||
| + | }} | ||
'''Topic Identification Using Wikipedia Graph Centrality''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Kino Coursey]] and [[Rada Mihalcea]]. | '''Topic Identification Using Wikipedia Graph Centrality''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Kino Coursey]] and [[Rada Mihalcea]]. | ||
== Overview == | == Overview == | ||
This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from [[Wikipedia]]. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge. | This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from [[Wikipedia]]. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge. | ||
| + | |||
| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Coursey, Kino; Mihalcea, Rada. (2009). "[[Topic Identification Using Wikipedia Graph Centrality]]". Association for Computational Linguistics. DOI: 10.3115/1620853.1620887. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === English Wikipedia === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | {{cite journal |last1=Coursey |first1=Kino |last2=Mihalcea |first2=Rada |title=Topic Identification Using Wikipedia Graph Centrality |date=2009 |doi=10.3115/1620853.1620887 |url=https://wikipediaquality.com/wiki/Topic_Identification_Using_Wikipedia_Graph_Centrality |journal=Association for Computational Linguistics}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Coursey, Kino; Mihalcea, Rada. (2009). &quot;<a href="https://wikipediaquality.com/wiki/Topic_Identification_Using_Wikipedia_Graph_Centrality">Topic Identification Using Wikipedia Graph Centrality</a>&quot;. Association for Computational Linguistics. DOI: 10.3115/1620853.1620887. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
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| + | [[Category:Scientific works]] | ||
Latest revision as of 08:01, 25 January 2021
Authors | Kino Coursey Rada Mihalcea |
|---|---|
Publication date | 2009 |
DOI | 10.3115/1620853.1620887 |
Links | Original |
Topic Identification Using Wikipedia Graph Centrality - scientific work related to Wikipedia quality published in 2009, written by Kino Coursey and Rada Mihalcea.
Overview
This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from Wikipedia. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge.
Embed
Wikipedia Quality
Coursey, Kino; Mihalcea, Rada. (2009). "[[Topic Identification Using Wikipedia Graph Centrality]]". Association for Computational Linguistics. DOI: 10.3115/1620853.1620887.
English Wikipedia
{{cite journal |last1=Coursey |first1=Kino |last2=Mihalcea |first2=Rada |title=Topic Identification Using Wikipedia Graph Centrality |date=2009 |doi=10.3115/1620853.1620887 |url=https://wikipediaquality.com/wiki/Topic_Identification_Using_Wikipedia_Graph_Centrality |journal=Association for Computational Linguistics}}
HTML
Coursey, Kino; Mihalcea, Rada. (2009). "<a href="https://wikipediaquality.com/wiki/Topic_Identification_Using_Wikipedia_Graph_Centrality">Topic Identification Using Wikipedia Graph Centrality</a>". Association for Computational Linguistics. DOI: 10.3115/1620853.1620887.
