This paper describes a quantitative indicator for segmenting narrative text into coherent scenes. The indicator, called the lexical cohesion pro le (LCP), records lexical cohesiveness of words in a xed-length window moving word by word on the text. The cohesiveness of words, which represents their coherence, is computed by spreading activation on a semantic network. The basic idea of LCP is: (1...

This paper presents a spreading-activation theory of human semantic processing, which can be applied to a wide range of recent experimental results. The theory is based on Quillian's theory of semantic memory search and semantic preparation, or priming. In conjunction with this, several of the miscondeptions concerning Qullian's theory are discussed. A number of additional assumptions are propo...

In this paper, we describe an extension of the theory of shortterm memory decay for the ACT-R cognitive architecture. By including a short-term decay for elements recently cleared from active memory, we have extended the functionality of spreading activation as a source of implicit contextual information for the model. In ACT-R models of serial memory and decision-making, contextual information...

Almost without exception, acquired language disorders resulting from focal brain injury are accompanied by impairments of verbal short-term memory (STM) and verbal learning. Moreover, disturbances in verbal STM are generally associated with language dysfunction, in some cases mild and not disruptive to most language activities. The co-occurrence of language and mnestic deficits in the aphasic p...

In this paper, we propose a mining algorithm to utilize the user clickthrough data to improve search performance. The algorithm first explores the relationship between queries and Web pages and mine out co-visiting relationship as the virtual link among the Web pages, and then Spreading Activation mechanism is used to perform the query-dependent search. Our approach could overcome the challenge...

A planning technique for probabilistic domains is presented, inspired by cognitive perceptual processes. The plan evolves as a by-product of situation understanding using spreading activation for cooperative support-building, and an annealing process to kill off weak results. We have implemented the technique and compared its results with one of the top planning techniques for this type of prob...

Long-term declarative semantic memory is a key component of a cognitive architecture that allows an agent to perform effectively in complex tasks. Over the years, a number of new mechanisms beyond deliberate cued retrieval have been developed, including partial matching and spreading activation. However, there has yet to be a theory that coherently explains why these mechanisms are beneficial o...

The ASKNet system is an attempt to automatically generate large scale semantic knowledge networks from natural language text. State-of-the-art language processing tools, including parsers and semantic analysers, are used to turn input sentences into fragments of semantic network. These network fragments are combined using spreading activation-based algorithms which utilise both lexical and sema...

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Concept maps have been widely put to educational uses. They possess a number of appealing features which make them a promising tool for teaching, learning, evaluation, and curriculum planning. This paper presents self-associated concept mapping (SACM) which extends the use of concept mapping by proposing the idea of self-construction and automatic problem solving to traditional concept maps. Th...