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Content and rhetorical status selection in instructional texts

Published 1 January 1994Open access
Leila Kosseim, Guy Lapalme
Citations13
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TL;DR

The approach taken starts from an AI task planner building a task representation, from which semantic carriers are selected, and the most appropriate RST relations to communicate these carriers are chosen according to heuristics developed during the corpus analysis.

Abstract

This paper discusses an approach to planning the content of instructional texts. The research is based on a corpus study of 15 French procedural texts ranging from step-by-step device manuals to general artistic procedures. The approach taken starts from an AI task planner building a task representation, from which semantic carriers are selected. The most appropriate RST relations to communicate these carriers are then chosen according to heuristics developed during the corpus analysis.

Keywords

PsychologyComputer ScienceArts and Humanities