Structural Scaffolds for Citation Intent Classification in Scientific Publications

  title={Structural Scaffolds for Citation Intent Classification in Scientific Publications},
  author={Arman Cohan and Waleed Ammar and Madeleine van Zuylen and Field Cady},
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. [] Key Method 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.

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