分类:Structural Scaffolds for Citation Intent Classification in Scientific Publications

Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady. Structural Scaffolds for Citation Intent Classification in Scientific Publications

Abstract

Identifying the intent of a citation in scientific papers (e.g., background information, use of methods, comparing results) is critical for machine reading of individual publications and automated analysis of the scientific literature. We propose structural scaffolds, a multitask model to incorporate structural information of scientific papers into citations for effective classification of citation intents. Our model achieves a new state-of-the-art on an existing ACL anthology dataset (ACL-ARC) with a 13.3% absolute increase in F1 score, without relying on external linguistic resources or hand-engineered features as done in existing methods. In addition, we introduce a new dataset of citation intents (SciCite) which is more than five times larger and covers multiple scientific domains compared with existing datasets.

总结和评论

这篇文章对引用动机做了识别，也提供了一个用来训练引文动机识别模型的数据库。

概念地图