Structural Scaffolds for Citation Intent Classification in Scientific Publications

@inproceedings{Cohan2019StructuralSF,
  title={Structural Scaffolds for Citation Intent Classification in Scientific Publications},
  author={Arman Cohan and Waleed Ammar and Madeleine van Zuylen and Field Cady},
  booktitle={NAACL-HLT},
  year={2019}
}
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-ofthe-art on an existing ACL anthology dataset (ACL-ARC… CONTINUE READING
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Key Quantitative Results

  • Our model achieves a new state-ofthe-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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