A Problem for RST: The Need for Multi-Level Discourse Analysis

A Problem for RST: The Need for Multi-Level Discourse Analysis (1992)

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by Johanna D. Moore , Martha E. Pollack

Venue:	Computational Linguistics
Citations:	151 - 12 self

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Datum	Value	Source
TITLE	A Problem for RST: The Need for Multi-Level Discourse Analysis	user correction - Legacy Corrections
AUTHOR NAME	Johanna D. Moore	SVM HeaderParse 0.1
AUTHOR AFFIL	University of Pittsburgh	SVM HeaderParse 0.2
AUTHOR NAME	Martha E. Pollack	SVM HeaderParse 0.1
AUTHOR AFFIL	; University of Pittsburgh	SVM HeaderParse 0.2
AUTHOR ADDR	; RST (Fox 1987; Linden, Cumming, and Martin 1992; Matthiessen and Thompson 1988).	SVM HeaderParse 0.1
ABSTRACT	this paper, we focus on two levels of analysis. The first involves the relation between the information conveyed in consecutive elements of a coherent discourse. Thus, for example, one utterance may describe an event that can be presumed to be the cause of another event described in the subsequent utterance. This causal relation is at what we will call the informational level. The second level of relation results from the fact that discourses are produced to effect changes in the mental state of the discourse participants. In coherent discourse, a speaker is carrying out a consistent plan to achieve the intended changes, and consecutive discourse elements are related to one another by means of the ways in which they participate in that plan. Thus, one utterance may be intended to increase the likelihood that the hearer will come to * Department of Computer Science and Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA 15260. e-mail: jmoore,pollackcs.pitt.edu 1 In addition, intentional structure is needed to make certain types of choices during the generation process, e.g., how to refer to an object (Appelt 1985)	user correction - Legacy Corrections
YEAR	1992	INFERENCE
VENUE	Computational Linguistics	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	537--544	INFERENCE
VOLUME	18	INFERENCE
CITATIONS	12 found	ParsCit 1.0