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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 1–25 of 65 papers

TitleStatusHype
InCoder: A Generative Model for Code Infilling and SynthesisCode2
CoNT: Contrastive Neural Text GenerationCode2
Prompting for Numerical Sequences: A Case Study on Market Comment GenerationCode2
Automating Code Review Activities by Large-Scale Pre-trainingCode1
Retrieve and Refine: Exemplar-based Neural Comment GenerationCode1
Impact of Evaluation Methodologies on Code SummarizationCode1
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels—0
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees—0
Learning to Generate Code Comments from Class Hierarchies—0
Error syntax aware augmentation of feedback comment generation dataset—0
Learning Comment Generation by Leveraging User-Generated Data—0
Energy-bounded Learning for Robust Models of Code—0
Creating Corpora for Research in Feedback Comment Generation—0
API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations—0
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks—0
DCA: Diversified Co-Attention towards Informative Live Video Commenting—0
DiffuCom: A novel diffusion model for comment generation—0
Automatic Article Commenting: the Task and Dataset—0
DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation—0
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation—0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
Automating Horizon Scanning in Future Studies—0
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation—0
Automatic Generation of News Comments Based on Gated Attention Neural Networks—0
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection—0
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