Participants were presented with a news article and its corresponding highlights and were asked to rate the latter along three dimensions: informativeness (do the highlights represent the article’s main topics?

If our goal is to summarize news articles , then we may be better off selecting the first n sentences of the document.

Examples of CNN news articles with human-authored highlights are shown in Table 1.

Highlights on a small screen deVice would presumably be shorter than highlights for news articles on the web.

Given a document, we aim to produce three or four short sentences covering its main topics, much like the “Story Highlights” accompanying the (online) CNN news articles .

The majority were news articles , but the set also contained a mixture of editorials, commentary, interviews and reviews.

DUC2001 provided 309 English news articles for document summarization tasks, and the articles were grouped into 30 document sets.

The news articles were selected from TREC-9.

We chose five document sets (d04, d05, d06, d08, d1 1) with 54 news articles out of the DUC2001 document sets.

and Chiorean (2008) propose to produce summaries with the MMR method from Romanian news articles and then automatically translate the summaries into English.

We have presented extractive and abstractive models that generate image captions for news articles .

Instead of relying on manual annotation or background ontological information we exploit a multimodal database of news articles , images, and their captions.

It is well known that news articles are written so that the lead contains the most important information in a story.7 This is an encouraging result as it highlights the importance of the visual information for the caption generation task.