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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
Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?—0
MOPRD: A multidisciplinary open peer review dataset—0
StoryER: Automatic Story Evaluation via Ranking, Rating and ReasoningCode0
Multi-Attribute Controlled Text Generation with Contrastive-Generator and External-Discriminator—0
Automatic Comment Generation via Multi-Pass DeliberationCode0
Automating Horizon Scanning in Future Studies—0
CoNT: Contrastive Neural Text GenerationCode2
InCoder: A Generative Model for Code Infilling and SynthesisCode2
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition—0
Automating Code Review Activities by Large-Scale Pre-trainingCode1
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