fall-1994-04

Contents

• Knowledge Representation in the TRAINS System

  M. Poesio, G. Ferguson, P. Heeman,C. H. Hwang,D. R. Traum

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• Recognizing Digressive Questions

  Susan Haller

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• Robust Chart Parsing with Mildy Inconsistent Feature Structures

  Carl Vogel and Robin Cooper

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• Parsing with Constructions

  Wlodek Zadrozny

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• Concept Based Lexical Selection

  Bonnie J. Dorr and Clare R. Voss and Eric Peterson and Michael Kiker

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• Simplifying Analyses by Fitting the Semantic Representation Closely to Language

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• Description Logics for Natural Language Processing

  Enrico Franconi

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• Meeting the Interlocking Needs of LF-computation, Deindexing, and Inference: An Organic Approach to General NLU

  Chung Hee Hwang and Lenhart K. Schubert

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• Representing Space and Time Information in English Narratives

  Mark Goldfain

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• Formalizing English

  Stuart C. Shapiro

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• A Glimpse of NKRL, the “Narrative Knowledge Representation Language”

  Gian Piero Zarri

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• ANALOG: A Logical Language for Natural Language Processing

  Syed S. Ali

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• ESK: An Events and States Knowledge Base

  Greg Whittemore and John Hicks

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• Understanding Natural Language Instructions: Impact on Representation Formalisms

  Barbara Di Eugenio

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• Mapping Knowledge to Language with LOOM

  Manfred Stede and Dietmar Rosner

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• Acquiring and Representing Background Knowledge for a Natural Language Processing System

  Andrei Mikheev and Marc Moens

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• A RISC Approach to Reasoning with Natural Language

  Robert M. Macgregor

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• Evaluating Embedded Parsers

  Will Fitzgerald and Christopher K. Riesbeck

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• Talking about Time: Temporal Reasoning as a Problem of Natural Language

  Lucja Iwanska

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