Xart: Discovery of correlated arguments of n-ary relations in text
作者：
Highlights：
• We present Xart system for relevant quantitative data extraction from text.
• Xart system is based on a knowledge discovery process using a domain ontology.
• We propose a new edit measure to identify units of measure.
• We propose new enriched patterns with semantics for data extraction modeled as n-ary relations.
• Xart system is intended to help relevant complex data annotation in text.
摘要
•We present Xart system for relevant quantitative data extraction from text.•Xart system is based on a knowledge discovery process using a domain ontology.•We propose a new edit measure to identify units of measure.•We propose new enriched patterns with semantics for data extraction modeled as n-ary relations.•Xart system is intended to help relevant complex data annotation in text.
论文关键词：Information extraction,N-ary relation,Ontology,Data mining,Sequential pattern,Quantitative data,Linguistic pattern
论文评审过程：Received 14 February 2016, Revised 19 December 2016, Accepted 20 December 2016, Available online 23 December 2016, Version of Record 28 December 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.12.028
