The goal of this study was to examine how individual variation in readers' skills and, in particular, their background knowledge about a text are related to text memory. Recollection and familiarity estimates were obtained from remember and know judgments to text ideas. Recollection estimates to old items were predicted by readers' background knowledge, but not by other comprehension-related fa...

People can acquire both true and false knowledge about the world from fictional stories. The present study explored whether the benefits and costs of learning about the world from fictional stories extend beyond memory for directly stated pieces of information. Of interest was whether readers would use correct and incorrect story references to make deductive inferences about related information...

hapax legomenon (pl. hapax legomena; sometimes abbreviated to hapax, pl. hapaxes), is a word that occurs only once within a context, either in the written record of an entire language, in the works of an author, or in a single text. the related terms, dis legomenon, tris legomenon, and tetrakis legomenon respectively refer to double, triple, or quadruple occurrences, but are far less commonly u...

We consider the problem of learning rules from natural language text sources. These sources, such as news articles, journal articles, and web texts, are created by a writer to communicate information to a reader, where the writer and reader share substantial domain knowledge. Consequently, the texts tend to be concise and mention the minimum information necessary for the reader to draw the corr...

Grid is one of the most e ective new paradigms in large scale distributed computing. Only recently Petri nets have been adopted as a formal modeling framework for describing the speci c aspects of the Grid. In this paper we describe a Grid tool for High Energy Physics data analysis, and we show how modeling its architecture with nets-withinnets has led us to identify and solve a number of defec...

This paper presents a possible solution for the text inference problem extracting information unstated in a text, but implied. The inference algorithm consists of a set of highly parallel search methods that when applied to the knowledge base find contexts of sentences that reveal information relevant to the text. Implementation, results and parallelism analysis are discussed. 1 Statement of th...

s 2 FMRI signal when people generate causal inferences during stories. Although the majority of psycholinguistic research concerns how people process words or sentences, the bulk of human communication occurs at the level of discourse. Some language comprehension processes may be far more evident as people comprehend complex discourse than when they comprehend words or sentences. For instance, ...

We examined whether timeline icons improved older and younger adults' comprehension of medication information. In Experiment 1, comprehension of instructions with the icon (icon/text format) and without the icon (text-only format) was assessed by questions about information that was (a) implicit in the text but depicted explicitly by the icon (total dose in a 24 hour period), (b) stated and dep...