Improving On-line Scientific Resource Profiling by Exploiting Resource Citation Information in the Literature

作者：

Highlights：

• We are the first to exploit resource citation information in scientific literature.

• We conduct an annotation scheme and create a dataset for resource citation analysis.

• We develop a joint model for the term extraction and the relation extraction tasks.

• We propose an automated system to construct several resource-centered networks.

摘要

•We are the first to exploit resource citation information in scientific literature.•We conduct an annotation scheme and create a dataset for resource citation analysis.•We develop a joint model for the term extraction and the relation extraction tasks.•We propose an automated system to construct several resource-centered networks.

论文关键词：Knowledge extraction,Information extraction,On-line scientific resource profiling

论文评审过程：Received 13 December 2020, Revised 16 April 2021, Accepted 11 May 2021, Available online 17 May 2021, Version of Record 17 May 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102638