Difference between revisions of "Semantic Similarity Computing Method based on Wikipedia"
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| + | | title = Semantic Similarity Computing Method based on Wikipedia | ||
| + | | date = 2011 | ||
| + | | authors = [[]] | ||
| + | | link = http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJC201107067.htm | ||
| + | }} | ||
'''Semantic Similarity Computing Method based on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[]]. | '''Semantic Similarity Computing Method based on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[]]. | ||
== Overview == | == Overview == | ||
Aiming at the low accuracy and poor intelligibility of current algorithms for semantic analysis,a [[semantic similarity]] computing method based on [[Wikipedia]] is proposed.Different from computing word's semantic similarity by category information,this method uses link information to calculate the similarity of different words in a way like human thinking.Result can be easily understood and the accuracy rate can be increased with semantic category.Experiment compared with current algorithms proves its advantage. | Aiming at the low accuracy and poor intelligibility of current algorithms for semantic analysis,a [[semantic similarity]] computing method based on [[Wikipedia]] is proposed.Different from computing word's semantic similarity by category information,this method uses link information to calculate the similarity of different words in a way like human thinking.Result can be easily understood and the accuracy rate can be increased with semantic category.Experiment compared with current algorithms proves its advantage. | ||
Revision as of 09:00, 21 January 2020
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 | 2011 |
Links | Original |
Semantic Similarity Computing Method based on Wikipedia - scientific work related to Wikipedia quality published in 2011, written by [[]].
Overview
Aiming at the low accuracy and poor intelligibility of current algorithms for semantic analysis,a semantic similarity computing method based on Wikipedia is proposed.Different from computing word's semantic similarity by category information,this method uses link information to calculate the similarity of different words in a way like human thinking.Result can be easily understood and the accuracy rate can be increased with semantic category.Experiment compared with current algorithms proves its advantage.
