Computational Approaches to Discourse and Document Processing (original) (raw)

Abstract

This introduction tracks the evolution of the definition and role of discourse issues in NLP from the knowledge-intensive "discourse understanding" methods of the 80's to the recent concern with "accessing contents" in vast document bases via data-intensive methods. As text/discourse linguistics moves toward corpus approaches, also in connection with the development of large text bases and of computational instruments, we explore potential new forms of convergence.

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  29. J. Bateman (U. Bremen, Germany)
  30. Y. Bestgen (U. C. Louvain, Belgium)
  31. N. Bouayad-Agha (U. Pompeu Fabra, Barcelona, Spain)
  32. M. Charolles (U. Paris 3, France)
  33. N. Colineau (CSIRO, Australia)
  34. D. Cristea (U. Iasi, Romania)
  35. L. Danlos (U. Paris 7, France)
  36. L. Degand (U. C. Louvain, Belgium)
  37. P. Enjalbert (U. Caen, France)
  38. S. Ferrari (U. Caen, France)
  39. B. Grau (U. Paris-Sud, France)
  40. C. Hallett (Open University, U.K.)
  41. A. Hartley (U. Leeds, U.K.)
  42. N. Hernandez (U. Nantes, France)
  43. J. Karlgren (Swedish Institute of Computer Science, Sweden)
  44. L. Kosseim (U. Concordia, Quebec, Canada)
  45. G. Lapalme (U. Montréal, Quebec, Canada)
  46. H. Le Thanh (Hanoi University of Technology, Vietnam)
  47. N. Lucas (CNRS, U. Caen, France)
  48. C. Mancini (Open University, U.K.)
  49. A. Max (U. Paris-Sud, France)
  50. J.-L. Minel (CNRS, U. Paris 10, France)
  51. C. Paris (CSIRO, Australia)
  52. R. Power (Open University, U.K.)
  53. H. Saggion (U. Sheffield, U.K.)
  54. S. Teufel (U. Cambridge, U.K.)
  55. K. van Deemter (U. Aberdeen, U.K.)