A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0

作者：

Highlights：

• Efficient and automatic manage of large collection of documents.

• No need of handcrafted knowledge modeling.

• Highly-precise answers.

• Improved language coverage of the possible wordings users could employ when querying the system.

• Tag clouds as an interpretable representation mechanism and as a way to improve navigation and learning through the domain of knowledge.

摘要

•Efficient and automatic manage of large collection of documents.•No need of handcrafted knowledge modeling.•Highly-precise answers.•Improved language coverage of the possible wordings users could employ when querying the system.•Tag clouds as an interpretable representation mechanism and as a way to improve navigation and learning through the domain of knowledge.

论文关键词：FAQ retrieval,WordNet,Wikipedia concepts,Natural language,Tag cloud

论文评审过程：Received 9 December 2012, Revised 22 March 2013, Accepted 21 April 2013, Available online 2 May 2013.

论文官网地址：https://doi.org/10.1016/j.knosys.2013.04.019