In this paper, a situation-based storyline generation system is proposed. The generated new plot is a modification of situations stored in situation database, which is different from previous character-based and story-based systems. The new plot is generated based on the current plot with rules applied from the constraint database. The number of possible plots will be huge by applying this meth...

Trend information is a summarization of temporal statistical data, such as changes in product prices and sales. We propose a method for extracting trend information from multiple newspaper articles. Our group participated in the T2 Subtask at TCIR-7 MuST (Multimodal Summarization for Trend Information). Our goal was to evaluate the effectiveness of our rule-based system using the data provided ...

This paper tests the hypothesis that it is possible to build a generic Behavioural Animation system. The paper outlines the four models that form the key elements of a Behavioural Animation system, and a proposed generic structure for the Behavioural Component. Three implementations, all of which follow this structure but which differ in implementation detail, are then presented. Each implement...

This paper proposes a novel approach to similarity-based approximate reasoning in an interval-valued fuzzy environment. In a rule-based system, an ‘if ... then ...’ rule can be translated into an intervalvalued fuzzy relation by suitable implication operations. The similarity grade between a case and the antecedent of a rule is computed and used to modify the relation. A consequent is derived f...

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We present our work on the identification of opinions and its components: the source, the topic and the message. We describe a rule-based system for which we achieved a recall of 74% and a precision of 94%. Experimentation with machine-learning techniques for the same task is currently underway.

Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist (adaline unit) representation. Each neurule is represented as an adaline unit. One way that the neurules can be produced is from training examples (empirical source knowledge). However, in certain application fields not all of the training examples are available a priori. A number of them become a...

The paper discusses a proposal of a formal description of ARD+ a conceptual design and hierarchical refinement method for knowledge-based systems. Formalization of method syntax is given, as well as description of its semantics. ARD+ is a rework of the classic ARD presented elsewhere, that provides a conceptual design for rule-based systems. ARD+ is based on the concept of gradual design where ...

In this paper, we present an approach integrating neurule-based and case-based reasoning. Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist representation (adaline unit). Each neurule is represented as an adaline unit. One way that the neurules can be produced is from symbolic rules by merging the symbolic rules having the same conclusion. In thi...