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[PDF File]An Examination of the CNN/DailyMail Neural Summarization Task
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of news articles as the label, and the article (or portions of it) as the input. In this paper, we are primarily interested in the CNN/DailyMail dataset. This dataset is advantageous because each article comes is paired with a short set of summarized bullet points that represent meaningful “highlights” of the piece.

[PDF File]Learning to summarize from human feedback - NeurIPS
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models also transfer to CNN/DM news articles [22], producing summaries nearly as good as the human reference without any news-speciﬁc ﬁne-tuning.2 We con-duct extensive analyses to understand our human feedback dataset and ﬁne-tuned models.3 We establish that our reward model generalizes to new datasets, and that

[PDF File]A Deep Ensemble Framework for Fake News Detection and Multi ...
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including social media feeds, news blogs, on-line newspapers etc. In this paper, we de-velop various deep learning models for de-tecting fake news and classifying them into the pre-deﬁned ﬁne-grained categories. At ﬁrst, we develop individual models based on Convolutional Neural Network (CNN), and Bi-directional Long Short Term Memory (Bi-

[PDF File]arXiv:2201.08495v1 [cs.CL] 21 Jan 2022
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Abstract. The summarization literature focuses on the summarization of news articles. The news articles in the CNN-DailyMail are relatively short documents with about 30 sentences per document on average. We introduce SciBERTSUM, our summarization framework designed for the summarization of long documents

Automated News Summarization Using Transformers
The aim of news summarization is to create a concise summary from a long document or news articles such that no information is lost. In recent times, computing text summaries using Deep Learning has gained popularity 1.1 Need for Text Summarization Automating summarization [1] would eliminate manual efforts. Shorter texts, which

[PDF File]CNN WIRE - CNN Newsource
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the #1 TV and mobile news site and the most-followed news brand on social media. With 36 domestic and international bureaus, and a network of regional reciprocal newsgathering partners, CNN Wire delivers the coverage you need to stay ahead of the competition. CNN WIRE CNN Newsource Digital is the affordable, one-stop solution

[PDF File]Extractive Summarization of Long Documents by Combining ...
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summarization datasets consists of relatively short documents, like CNN/DailyMail (Nallapati et al., 2016) and New York Times (Sandhaus,2008). One exception is (Cohan et al.,2018) that recently introduce two large-scale datasets of long and structured scientiﬁc papers obtained from arXiv and PubMed. These two new datasets contain

Cnn short news articles