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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
Topic Analysis for Text with Side Data—0
Energy-bounded Learning for Robust Models of Code—0
Exploring Methods for Generating Feedback Comments for Writing LearningCode0
Impact of Evaluation Methodologies on Code SummarizationCode1
Shared Task on Feedback Comment Generation for Language Learners—0
Towards Controlled and Diverse Generation of Article Comments—0
Learning to Generate Code Comments from Class Hierarchies—0
API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations—0
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection—0
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees—0
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