Difference between revisions of "Coarse to Fine: Diffusing Categories in Wikipedia"
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| − | '''Coarse to Fine: Diffusing Categories in Wikipedia''' - scientific work related to Wikipedia quality published in 2017, written by Pengshan Cai, Yansong Feng, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin and Xueqi Cheng. | + | '''Coarse to Fine: Diffusing Categories in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Pengshan Cai]], [[Yansong Feng]], [[Yantao Jia]], [[Yuanzhuo Wang]], [[Xiaolong Jin]] and [[Xueqi Cheng]]. |
== Overview == | == Overview == | ||
| − | Automatic taxonomy construction aims to build a categorization system without human efforts. Traditional textual pattern based methods extract hyponymy relation in raw texts. However, these methods usually yield low precision and recall. In this paper, authors propose a method to automatically find diffusing attributes to a category from Wikipedia infoboxes. Authors use the diffusing attribute to diffuse a coarse-grained category into several fine-grained | + | Automatic taxonomy construction aims to build a categorization system without human efforts. Traditional textual pattern based methods extract hyponymy relation in raw texts. However, these methods usually yield low precision and recall. In this paper, authors propose a method to automatically find diffusing attributes to a category from [[Wikipedia]] [[infoboxes]]. Authors use the diffusing attribute to diffuse a coarse-grained category into several fine-grained sub[[categories]] and generate a finer-grained taxonomy. Experiments show method can find proper diffusing attributes to categories across various domains. |
Revision as of 23:28, 30 May 2019
Coarse to Fine: Diffusing Categories in Wikipedia - scientific work related to Wikipedia quality published in 2017, written by Pengshan Cai, Yansong Feng, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin and Xueqi Cheng.
Overview
Automatic taxonomy construction aims to build a categorization system without human efforts. Traditional textual pattern based methods extract hyponymy relation in raw texts. However, these methods usually yield low precision and recall. In this paper, authors propose a method to automatically find diffusing attributes to a category from Wikipedia infoboxes. Authors use the diffusing attribute to diffuse a coarse-grained category into several fine-grained subcategories and generate a finer-grained taxonomy. Experiments show method can find proper diffusing attributes to categories across various domains.
