The purpose of this paper is to study the fundamental mechanism humans use in argumentation and its role in different major approaches to commonsense reasoning in AI and logic programming. We present three novel results: We develop a theory for argumentation in which the acceptability of arguments

The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank. The resulting resource can be thought of as shallow, in that it does not represent

: Reasoning about knowledge seems to play a fundamental role in distributed systems. Indeed, such reasoning is a central part of the informal intuitive arguments used in the design of distributed protocols. Communication in a distributed system can be viewed as the act of transforming the system

We report on the SUM project which applies automatic summarisation techniques to the legal domain. We pursue a methodology based on Teufel and Moens (2002) where sentences are classified according to their argumentative role. We describe some experiments with judgments of the House of Lords

determine which among competing ideologies survive in the long run. This alternative view of culture offers new opportunities for systematic, differentiated arguments about culture's causal role in shaping action. The reigning model used to understand culture's effects on action is fundamentally

The Penn Treebank has recently implemented a new syntactic annotation scheme, designed to highlight aspects of predicate-argument structure. This paper discusses the implementation of crucial aspects of this new annotation scheme. It incorporates a more consistent treatment of a wide range

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In this paper we describe our method for the summarization of legal documents helping a legal expert determine the key ideas of a judgment. Our approach is based on the exploration of the document’s architecture and its thematic structures in order to build a table style summary for improving coherency and readability of the text. We present the components of a system, called LetSum, built with this approach, its implementation and some preliminary evaluation results. 1

In predicate-argument structure analysis, it is important to capture non-local de-pendencies among arguments and inter-dependencies between the sense of a pred-icate and the semantic roles of its argu-ments. However, no existing approach ex-plicitly handles both non-local dependen-cies and semantic

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