Papers Comment Generation
“Comment Generation” 태그가 달린 논문 65편 · 필터 해제
Learning to Represent Programs with Heterogeneous Graphs
Program source code contains complex structure information, which can be represented in structured data forms like trees or graphs. To acquire the structural information in source code, most existing researches use abstr…
Code Comment GenerationComment GenerationLearning with Contrastive Examples for Data-to-Text Generation
Existing models for data-to-text tasks generate fluent but sometimes incorrect sentences e.g., {``}Nikkei gains{''} is generated when {``}Nikkei drops{''} is expected. We investigate models trained on contrastive example…
Comment GenerationData-to-Text GenerationText GenerationOne Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment
The automatic generation of music comments is of great significance for increasing the popularity of music and the music platform{'}s activity. In human music comments, there exists high distinction and diverse perspecti…
Comment GenerationDiversityMarket Comment Generation from Data with Noisy Alignments
End-to-end models on data-to-text learn the mapping of data and text from the aligned pairs in the dataset. However, these alignments are not always obtained reliably, especially for the time-series data, for which real …
Comment GenerationSentenceTime SeriesTime Series AnalysisTowards Context-Aware Code Comment Generation
Code comments are vital for software maintenance and comprehension, but many software projects suffer from the lack of meaningful and up-to-date comments in practice. This paper presents a novel approach to automatically…
Code Comment GenerationComment GenerationGraph AttentionRetrieve and Refine: Exemplar-based Neural Comment Generation
Code comment generation which aims to automatically generate natural language descriptions for source code, is a crucial task in the field of automatic software development. Traditional comment generation methods use man…
Code Comment GenerationComment GenerationInformation RetrievalRetrieval+2MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
In recent years, the proliferation of so-called "fake news" has caused much disruptions in society and weakened the news ecosystem. Therefore, to mitigate such problems, researchers have developed state-of-the-art models…
ArticlesComment GenerationFake News DetectionGenerating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks
Comment generation, a new and challenging task in Natural Language Generation (NLG), attracts a lot of attention in recent years. However, comments generated by previous work tend to lack pertinence and diversity. In thi…
ArticlesComment GenerationDiversityText GenerationTAG : Type Auxiliary Guiding for Code Comment Generation
Existing leading code comment generation approaches with the structure-to-sequence framework ignores the type information of the interpretation of the code, e.g., operator, string, etc. However, introducing the type info…
Code Comment GenerationComment GenerationDecoderHierarchical Reinforcement Learning+2Creating Corpora for Research in Feedback Comment Generation
In this paper, we report on datasets that we created for research in feedback comment generation {---} a task of automatically generating feedback comments such as a hint or an explanatory note for writing learning. Ther…
Comment GenerationLearning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels
Static knowledge graph has been incorporated extensively into sequence-to-sequence framework for text generation. While effectively representing structured context, static knowledge graph failed to represent knowledge ev…
Comment GenerationGraph-to-SequenceText GenerationDCA: Diversified Co-Attention towards Informative Live Video Commenting
We focus on the task of Automatic Live Video Commenting (ALVC), which aims to generate real-time video comments with both video frames and other viewers' comments as inputs. A major challenge in this task is how to prope…
Comment GenerationMetric LearningToward a Task of Feedback Comment Generation for Writing Learning
In this paper, we introduce a novel task called feedback comment generation {---} a task of automatically generating feedback comments such as a hint or an explanatory note for writing learning for non-native learners of…
Comment GenerationRetrievalRead, Attend and Comment: A Deep Architecture for Automatic NewsComment Generation
Automatic news comment generation is a new testbed for techniques of natural language generation. In this paper, we propose a “read-attend-comment” procedure for news comment generation and formalize the proc…
Comment GenerationText GenerationRead, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
Automatic news comment generation is a new testbed for techniques of natural language generation. In this paper, we propose a "read-attend-comment" procedure for news comment generation and formalize the procedure with a…
Comment GenerationText GenerationAutomatic Generation of Personalized Comment Based on User Profile
Comments on social media are very diverse, in terms of content, style and vocabulary, which make generating comments much more challenging than other existing natural language generation~(NLG) tasks. Besides, since diffe…
Comment GenerationText GenerationCross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information
Automatic commenting of online articles can provide additional opinions and facts to the reader, which improves user experience and engagement on social media platforms. Previous work focuses on automatic commenting base…
ArticlesComment GenerationCoherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Automatic article commenting is helpful in encouraging user engagement and interaction on online news platforms. However, the news documents are usually too long for traditional encoder-decoder based models, which often …
ArticlesComment GenerationDecoderGraph-to-SequenceToward Imitating Visual Attention of Experts in Software Development Tasks
Expert programmers' eye-movements during source code reading are valuable sources that are considered to be associated with their domain expertise. We advocate a vision of new intelligent systems incorporating expertise …
Code GenerationComment GenerationDecoderImitation LearningLearning Comment Generation by Leveraging User-Generated Data
Existing models on open-domain comment generation are difficult to train, and they produce repetitive and uninteresting responses. The problem is due to multiple and contradictory responses from a single article, and by …
Comment GenerationInformation RetrievalRetrieval