Automatic Article Commenting: the Task and Dataset
Comments of online articles provide extended views and improve user engagement. Automatically making comments thus become a valuable functionality for online forums, intelligent chatbots, etc. This paper proposes the new task of automatic article commenting, and introduces a large-scale Chinese dataset with millions of real comments and a human-annotated subset characterizing the comments' varying quality. Incorporating the human bias of comment quality, we further develop automatic metrics that generalize a broad set of popular reference-based metrics and exhibit greatly improved correlations with human evaluations.
Code (0)
등록된 구현이 없습니다.
Tasks
ArticlesComment GenerationSimilar Papers 제목 키워드 기반
Unsupervised Machine Commenting with Neural Variational Topic Model
Article comments can provide supplementary opinions and facts for readers, thereby increase the attraction and engagement of articles. Therefore, automatically commenting is helpful in improving the activeness of the com…
ArticlesmodelRetrievalCross-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 GenerationPublic Sphere 2.0: Targeted Commenting in Online News Media
With the increase in online news consumption, to maximize advertisement revenue, news media websites try to attract and retain their readers on their sites. One of the most effective tools for reader engagement is commen…
ArticlesLiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
We introduce the task of automatic live commenting. Live commenting, which is also called `video barrage', is an emerging feature on online video sites that allows real-time comments from viewers to fly across the screen…
RetrievalCoherent 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-Sequence