Structural Scaffolds for Citation Intent Classification in Scientific Publications (N19-1)
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| Challenge: | Existing methods for identifying intent of citations are limited by external linguistic resources and hand-engineered features. |
| Approach: | They propose a multitask model to incorporate structural information of scientific papers into citations for effective classification of citation intents. |
| Outcome: | The proposed model achieves a 13.3% increase in F1 score on an existing ACL anthology dataset without external linguistic resources or hand-engineered features as done in existing methods. |
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| Challenge: | Citation context analysis (CCA) is an important task in natural language processing that studies how and why scholars discuss each other’s work. |
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