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…

How do we produce the past tenses of verbs? For the last 20 years this question has been the focal domain for conflicting theories of language, knowledge representation, and cognitive processing. On one side of the debate have been similarity-based or single-route approaches that propose that all past tenses are formed simply through phonological…

Focuses on the role of cognitive structures in the reader's knowledge. Argues that causality is an important category in structuring human knowledge and that this property has consequences for text processing. Discusses research illustrating that the more the information in the text reflects causal categories, the more easily the information is…

Suggests that knowledge organization must encompass theories that focus on the more fundamental and less technical view and raises the questions of epistemology and general linguistic theory. Focuses on the meaning aspect of language and the terminological aspect of knowledge organization. Considers theories of terminology, language and meaning,…

Notes that memory-based text processing (MBP) is a label that has been used to refer to a theoretical perspective shared by contributors to this special issue. Defines the domain addressed by MBP; identifies the major shared assumptions of researchers representing the MBP perspective; and raises some challenges for MBP researchers. (SR)

Previous studies have shown that an aphasic patient (AB) with a semantic short-term memory deficit (STM) had difficulties comprehending and producing sentences with structures that demanded the simultaneous retention of several individual word meanings (Martin & Freedman, 2001a, 2001b; Martin & Romani, 1994; Martin, Shelton, & Yaffee, 1994). The…

Two findings serve as the hallmark for hemispheric specialization during lateralized lexical decision. First is an overall word advantage, with words being recognized more quickly and accurately than non-words (the effect being stronger in response latency). Second, a right visual field advantage is observed for words, with little or no…