Geoscience keyphrase extraction algorithm using enhanced word embedding

作者：

Highlights：

• The enhanced Word2vec with ontology knowledge achieved an F1-score of 40.7%.

• Increasing size of the training data will increase extraction quality.

• The weights affect the word embedding for keyphrase extraction.

摘要

•The enhanced Word2vec with ontology knowledge achieved an F1-score of 40.7%.•Increasing size of the training data will increase extraction quality.•The weights affect the word embedding for keyphrase extraction.

论文关键词：Keyphrase extraction,Ontology,Word2vec,Geoscience domain

论文评审过程：Received 30 May 2018, Revised 31 January 2019, Accepted 1 February 2019, Available online 2 February 2019, Version of Record 8 February 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.001