This article proposes an integrated cognitive theory of reading and listening that draws on a maximalist account of comprehension and emphasizes the role of bottom-up and top-down processing. The theoretical framework draws on the findings of previous research and integrates them into a coherent and plausible narrative to explain and predict the…

This article is concerned with how computer science, and more exactly computational complexity theory, can inform cognitive science. In particular, we suggest factors to be taken into account when investigating how people deal with computational hardness. This discussion will address the two upper levels of Marr's Level Theory: the computational…

Fodor and Pylyshyn [Fodor, J. A., & Pylyshyn, Z. W. (1988). Connectionism and cognitive architecture: A critical analysis. "Cognition," 28, 3-71] argue that connectionist models are not able to display systematicity other than by implementing a classical symbol system. This claim entails that connectionism cannot compete with the classical…

The deep semantic understanding necessary for complex natural language processing tasks, such as automatic question-answering or text summarization, would benefit from highly accurate word sense disambiguation (WSD). This dissertation investigates what makes an appropriate and effective sense inventory for WSD. Drawing on theories and…

Introduction: The objective of this study is understand the information needs that businesses have while seeking Library and Information Science professionals and analyse how they formulate those needs. Method: The analysis is performed by examining the professional skills and capabilities demanded in job offers published. A total of 1,020 job…

This paper examines the tie between knowledge and behavior in a noun generalization context. An experiment directly comparing noun generalizations of children at the same point in development in forced-choice and yes/no tasks reveals task-specific differences in the way children's knowledge of nominal categories is brought to bear in a moment. To…

Recent work addressing the phenomenon of perceptual simulation offers new and exciting avenues of investigating how to model knowledge representation. From the perspective of language, the simulation approach has given rise to new impetus to work on models of language understanding (e.g., Zwaan, 2004, and references therein), and provides a way of…

The authors present a computational model that builds a holographic lexicon representing both word meaning and word order from unsupervised experience with natural language. The model uses simple convolution and superposition mechanisms to learn distributed holographic representations for words. The structure of the resulting lexicon can account…

Semantic and orthographic learning of new words was investigated with the help of the picture-word interference (PWI) task. In this version of the Stroop task, picture naming is delayed by the simultaneous presentation of a semantically related as opposed to an unrelated distractor word (a specific PWI effect), as well as by an unrelated word…