Citation recommendation based on argumentative zoning of user queries

Shutian Ma, Chengzhi Zhang, Heng Zhang, Zheng Gao

Abstract: Highlights•We use the argumentative information in citing sentences to improve the performance of citation recommendation.•We construct an annotation scheme and create a dataset for argumentative analysis of citing sentences.•We develop a multi-task learning model for the argumentative zoning of citing sentences and citation recommendation tasks.