Difference between revisions of "Topic Identification Using Wikipedia Graph Centrality"
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== 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. | ||
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+ | == 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> |
Revision as of 10:23, 22 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.