Difference between revisions of "Query Topic Classification based on Wikipedia"
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| + | | title = Query Topic Classification based on Wikipedia | ||
| + | | date = 2014 | ||
| + | | authors = [[]] | ||
| + | | link = http://en.cnki.com.cn/Article_en/CJFDTOTAL-QBKX201405025.htm | ||
| + | }} | ||
'''Query Topic Classification based on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[]]. | '''Query Topic Classification based on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[]]. | ||
== Overview == | == Overview == | ||
A query topic classifier with two-stage based on [[Wikipedia]] is analyzed and designed. The theme-related semantic [[features]] with query words are acquired by query expansion, and query are labeled by semantic [[relatedness]] when user queries and classification labels are transferred and bridged to wikipedia directories. A design and realization in practical application are provided. The experiment results show that the proposed method can be used to solve the data sparseness problem, and performs well on precision rate and recall rate in query classification. | A query topic classifier with two-stage based on [[Wikipedia]] is analyzed and designed. The theme-related semantic [[features]] with query words are acquired by query expansion, and query are labeled by semantic [[relatedness]] when user queries and classification labels are transferred and bridged to wikipedia directories. A design and realization in practical application are provided. The experiment results show that the proposed method can be used to solve the data sparseness problem, and performs well on precision rate and recall rate in query classification. | ||
Revision as of 16:40, 1 July 2019
Authors | The wikipage input value is empty (e.g. [[]], [[]]) and therefore it cannot be used as a name or as part of a query condition. |
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Publication date | 2014 |
Links | Original |
Query Topic Classification based on Wikipedia - scientific work related to Wikipedia quality published in 2014, written by [[]].
Overview
A query topic classifier with two-stage based on Wikipedia is analyzed and designed. The theme-related semantic features with query words are acquired by query expansion, and query are labeled by semantic relatedness when user queries and classification labels are transferred and bridged to wikipedia directories. A design and realization in practical application are provided. The experiment results show that the proposed method can be used to solve the data sparseness problem, and performs well on precision rate and recall rate in query classification.
