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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 21–30 of 65 papers

TitleStatusHype
Automatic Article Commenting: the Task and Dataset—0
DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation—0
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation—0
Automatic Generation of News Comments Based on Gated Attention Neural Networks—0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks—0
Automating Horizon Scanning in Future Studies—0
Creating Corpora for Research in Feedback Comment Generation—0
API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations—0
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition—0
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