Interactive example-based finding of text items

作者：

Highlights：

• Interactive, example-based pattern description for text extraction is feasible.

• A modular framework accommodating many different options is described.

• Many combinations of active learning schemes and string classifiers are assessed.

• Experiments with 10 users on 10 tasks to be solved in 1 minute prove feasibility.

摘要

•Interactive, example-based pattern description for text extraction is feasible.•A modular framework accommodating many different options is described.•Many combinations of active learning schemes and string classifiers are assessed.•Experiments with 10 users on 10 tasks to be solved in 1 minute prove feasibility.

论文关键词：Active learning,Text processing,Pattern

论文评审过程：Received 5 October 2018, Revised 28 February 2020, Accepted 21 March 2020, Available online 6 April 2020, Version of Record 20 April 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113403