De-Constraining Text Generation

نویسندگان

  • Stephen Beale
  • Sergei Nirenburg
  • Evelyne Viegas
  • Leo Wanner
چکیده

We argue that the current, predominantly task-oriented, approaz~hes to modularizing text • generation, while plausible and useful conceptually, set up spurious conceptual and operational constraints. We propose a data-driven approach to modularization and illustrate how it eliminates • •the previously ubiquitous constraints on combination of evidence across modules and on • control. We also briefly overview the constraint-based control architecture that enables such an approach and facilitates near linear-time processing with realistic texts.

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تاریخ انتشار 1998