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Comment Generation

Article commenting poses new challenges for machines, as it involves multiple cognitive abilities: understanding the given article, formulating opinions and arguments, and organizing natu ral language for expression.

Papers

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Showing 31–40 of 65 papers

TitleStatusHype
DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation—0
DiffuCom: A novel diffusion model for comment generation—0
DCA: Diversified Co-Attention towards Informative Live Video Commenting—0
Energy-bounded Learning for Robust Models of Code—0
Error syntax aware augmentation of feedback comment generation dataset—0
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation—0
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection—0
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks—0
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition—0
Learning Comment Generation by Leveraging User-Generated Data—0
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