These ten contributions describe the major technical ideas underlying many of the significant advances in natural- language processing over the last decade, focusing in particular on the challenges in areas such as knowledge representation, reasoning, planning, and integration of multiple knowledge sources, where NLP and AI research intersect. Included are chapters that deal with all the main aspects of natural-language processing, from analysis to interpretation to generation. Fruitful new relations between language research and AI such as the use of statistical decision techniques in speech and language processing are also discussed. Contents: Introduction, F. C. N. Pereira and B. J. Grosz. The KERNEL Text Understanding System, M. S. Palmer, R. J. Passonneau, C. Weir, and T. Finin. Interpretation as Abduction, J. R. Hobbs, M. E. Stickel, D. E. Appelt, and P. Martin. Innovations in Text Interpretation, P. S. Jacobs and L. F. Rau. Lexical Knowledge Representation and Natural Language...

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