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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 51–65 of 65 papers

TitleStatusHype
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels—0
DCA: Diversified Co-Attention towards Informative Live Video Commenting—0
Toward a Task of Feedback Comment Generation for Writing Learning—0
Read, Attend and Comment: A Deep Architecture for Automatic NewsComment Generation—0
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation—0
Automatic Generation of Personalized Comment Based on User ProfileCode0
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal InformationCode0
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence ModelCode0
Toward Imitating Visual Attention of Experts in Software Development Tasks—0
Learning Comment Generation by Leveraging User-Generated Data—0
Live Video Comment Generation Based on Surrounding Frames and Live Comments—0
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation—0
Automatic Article Commenting: the Task and Dataset—0
Automatic Generation of News Comments Based on Gated Attention Neural Networks—0
Code Attention: Translating Code to Comments by Exploiting Domain FeaturesCode0
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