This study investigated the effect of refutation text structure on reading processes and learning. Undergraduate biology students ( n = 116) who had high or moderate misconceptions were randomly assigned to read either a non-refutation text, simple an elaborated that addressed commonly held about genetic biology. Participants’ prompted think-aloud type their thoughts as they text. Typed verbal ...

Associative Classification has been successfully employed in many diverse classification problem domains, showing high classification accuracy and adequate computation time relative to the other traditionally used solutions. Despite this, very little research has been conducted with it in the problem area of Text Categorisation and only a small number of approaches presently exist that are base...

With unstructured text on the web and social media increasing at a furious pace, it is all the more important to develop techniques that can ease semantic understanding of text data for humans. One of the key tasks in this process is that of entity linking; identifying mentions of entities in text. Consider the line that reads “The Prime Minister came under harsh criticism over the Immigration ...

Systematic reviews are a widely accepted research method. However, it is increasingly difficult to conduct them to fit with policy and practice timescales, particularly in areas which do not have well indexed, comprehensive bibliographic databases. Text mining technologies offer one possible way forward in reducing the amount of time systematic reviews take to conduct. They can facilitate the i...

The problem in processing Chinese chat text originates from the anomalous characteristics and dynamic nature of such a text genre. That is, it uses ill-edited terms and anomalous writing styles in chat text, and the anomaly is created and discarded very quickly. To handle this problem, one solution is to re-train the recognizer periodically. This costs a lot of manpower in producing the timely ...

I. Introduction The task the reader of a text has to accomplish is to connect the sentences in that discourse, to construct a global representation of what the text is about. This involves not only understanding the separate sentences but also the making of connections (inferences) between the sentences. Previous research has found that the processing of single sentences as well as a multi-sent...

linguistic stimuli in reading. Available prior knowledge about the language and about the world facilitates not only comprehension of the explicit information in the text, but also the generation of inferences about implicit information (e.g., McNamara & Kintsch, 1996). Vocabulary or word knowledge is a major component of prior knowledge that has been found to be related to inferences in readin...

Humans can make hasty, but generally robust judgements about what a text fragment is, or is not, about. Such judgements are termed information inference. By drawing on theories from non-classical logic and applied cognition, an information inference mechanism is proposed which makes inferences via computations of information flow through a high dimensional conceptual space. Within a conceptual ...