Lexicon-Grammar based open information extraction from natural language sentences in Italian

作者：

Highlights：

• An OIE approach for Italian language, based on verb behavior patterns.

• Verb behavior patterns built combining Lexicon-Grammar and distributional profiles.

• Extraction of n-ary propositions from elementary sentences exploiting verb patterns.

• Preservation of grammaticality and a first level of acceptability in extractions.

• Validation of effectiveness on a gold standard dataset built for OIE in Italian.

摘要

•An OIE approach for Italian language, based on verb behavior patterns.•Verb behavior patterns built combining Lexicon-Grammar and distributional profiles.•Extraction of n-ary propositions from elementary sentences exploiting verb patterns.•Preservation of grammaticality and a first level of acceptability in extractions.•Validation of effectiveness on a gold standard dataset built for OIE in Italian.

论文关键词：Open information extraction,Lexicon-Grammar,n-ary propositions,Natural language processing,Italian language

论文评审过程：Received 6 March 2019, Revised 13 September 2019, Accepted 13 September 2019, Available online 14 September 2019, Version of Record 1 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112954