Extracting temporal and causal relations based on event networks
作者：
Highlights：
• We propose an event network structure for extracting temporal and causal relations.
• By adopting open information extraction, we identify relation across multiple sentences.
• Our approach is able to identify temporal and causal relations in an unsupervised manner.
• Our work is able to identify both directly and indirectly observable relations.
摘要
•We propose an event network structure for extracting temporal and causal relations.•By adopting open information extraction, we identify relation across multiple sentences.•Our approach is able to identify temporal and causal relations in an unsupervised manner.•Our work is able to identify both directly and indirectly observable relations.
论文关键词：Event extraction,Open information extraction,Event network,Temporal event,Causal event
论文评审过程：Received 29 October 2019, Revised 18 April 2020, Accepted 31 May 2020, Available online 20 June 2020, Version of Record 20 June 2020.
论文官网地址：https://doi.org/10.1016/j.ipm.2020.102319
