Structural Scaffolds for Citation Intent Classification in Scientific Publications

NAACL 2019 Arman CohanWaleed AmmarMadeleine van ZuylenField 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. We propose structural scaffolds, a multitask model to incorporate structural information of scientific papers into citations for effective classification of citation intents... (read more)

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Evaluation Results from the Paper


 SOTA for Citation Intent Classification on ACL-ARC (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
COMPARE
Citation Intent Classification ACL-ARC Structural-scaffolds F1 67.9 # 1
Sentence Classification ACL-ARC Structural-scaffolds F1 67.9 # 1
Citation Intent Classification SciCite Structural-Scaffolds F1 84.0 # 2
Sentence Classification SciCite Structural-scaffolds F1 84 # 3