High quality error-tolerant phrase mining on text corpus
作者：
Highlights：
• Mining high-quality phrases on text with errors.
• Error-tolerant phrase model to maximize global probability of extracted phrases.
• Accelerating phrase mining process using dynamic programming.
• Trie structure based optimization to memorizing temporary information.
摘要
•Mining high-quality phrases on text with errors.•Error-tolerant phrase model to maximize global probability of extracted phrases.•Accelerating phrase mining process using dynamic programming.•Trie structure based optimization to memorizing temporary information.
论文关键词：Phrase mining,Error tolerant,Scalability
论文评审过程：Received 30 March 2019, Revised 14 February 2020, Accepted 30 December 2020, Available online 7 January 2021, Version of Record 25 January 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114557
