Readers’ use of source information in text comprehension

Gated-Attention Readers for Text Comprehension

In this paper we study the problem of answering cloze-style questions over documents. Our model, the Gated-Attention (GA) Reader1, integrates a multi-hop architecture with a novel attention mechanism, which is based on multiplicative interactions between the query embedding and the intermediate states of a recurrent neural network document reader. This enables the reader to build query-specific...

Readers' reliance on source credibility in the service of comprehension.

The current project examined the impact of knowledge about the credibility of sources on readers' processing of texts. Participants read texts in which information about characters was provided by either a credible or a noncredible source; this information suggested that the character potentially possessed a particular trait. A subsequent text episode offered the opportunity for participants to...

The Effect of CSAL AutoTutor on Deep Comprehension of Text in Low-Literacy Adult Readers

It is well documented that reading strategies of low-literacy readers are suboptimal when text requires deeper levels of comprehension. Deep comprehension demands causal or goal-oriented reasoning and functional conceptual knowledge. Alternatively, shallow comprehension entails recall of definitions or text features without necessitating a coherent understanding of the text. The Center for Adul...

Do serifs help in comprehension of printed text? An experiment with Cyrillic readers

The role of serifs for the comprehension of printed text has been controversial in the literature. The analysis was often confounded by the fact that fonts used for comparison have many differences besides being serif or sans-serif. In this study we use fonts from the same foundry and meta family to assess the differences in reading comprehension for Cyrillic readers (n=238). The results show n...

Comprehension and validation Running Head: COMPREHENSION AND VALIDATION Comprehension and Validation of Text Information