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Eric K. Jones

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2 papers

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AAAI Conference 1994 Conference Paper

L* Parsing: A General Framework for Syntactic Analysis of Natural Language

Eric K. Jones

We describe a new algorithm for table-driven parsing with context-free grammars designed to support efficient syntactic analysis of natural language. The algorithm provides a general framework in which a variety of parser control strategies can be freely specified: bottom-up strategies, top-down strategies, and strategies that strike a balance between the two. The framework permits better sharing of parse forest substructure than other table-driven approaches, and facilitates the early termination of semantically ill-formed partial parses. The algorithm should thus find ready application to large-scale natural language processing.

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AAAI Conference 1992 Conference Paper

Model-Based Case Adaptation

Eric K. Jones

In this paper, we demonstrate an important role for model-based reasoning in case adaptation. Model-based reasoning can allow a case-based reasoner to apply cases to a wider range of problems than would otherwise be possible. We focus on case adaptation in BRAINSTORMER, a planner that uses abstract advice to help it plan in the domain of political and military policy as it relates to terrorism. We show that by equipping a case adapter with an explicit causal model of the planning process, cases presented as advice can be flexibly applied to difficulties that arise at a variety of different stages of planning.

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