How readers understand causal and correlational expressions used in news headlines.

"How readers understand causal and correlational expressions used in news headlines": Correction to Adams et al. (2016).

Reports an error in "How Readers Understand Causal and Correlational Expressions Used in News Headlines" by Rachel C. Adams, Petroc Sumner, Solveiga Vivian-Griffiths, Amy Barrington, Andrew Williams, Jacky Boivin, Christopher D. Chambers and Lewis Bott (Journal of Experimental Psychology: Applied, Advanced Online Publication, Nov 3, 2016, np). In the article, the fourth author was inadvertently...

Translation of News Headlines

Machine-Translation of news headlines is difficult since the sentences are fragmentary and abbreviations and acronyms of proper names are frequently used. Another difficulty is that, since the headline comes at the top of a news article, the context information useful to disambiguate the sense of words and to determine their translation(target word) is not available. This paper proposes a new a...

Negative News No More: Classifying News Article Headlines

Generating News Headlines with Recurrent Neural Networks

We describe an application of an encoder-decoder recurrent neural network with LSTM units and attention to generating headlines from the text of news articles. We find that the model is quite effective at concisely paraphrasing news articles. Furthermore, we study how the neural network decides which input words to pay attention to, and specifically we identify the function of the different neu...

Forces and motion: how young children understand causal events.

How do children evaluate complex causal events? This study investigates preschoolers' representation of force dynamics in causal scenes, asking whether (a) children understand how single and dual forces impact an object's movement and (b) this understanding varies across cause types (Cause, Enable, Prevent). Three-and-a half- to 5.5-year-olds (n = 60) played a board game in which they were aske...