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Causal Reconstruction

Causal reconstruction is the task of reading a written causal description of a physical behavior, forming an internal model of the described activity, and demonstrating comprehension through question answering. T his task is difficult because written d escriptions often do not specify exactly how r eferenced events fit together. This article (1) ch aracterizes the causal reconstruction problem, (2) presents a representation called transition space, which portrays events in terms of "transitions,'' or collections of changes expressible in everyday language, and (3) describes a program called PATHFINDER, which uses the transition space representation to perform causal reconstruction on simplified English descriptions of physical activity.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/5955
Date01 February 1993
CreatorsBorchardt, Gary C.
Source SetsM.I.T. Theses and Dissertation
Languageen_US
Detected LanguageEnglish
Format61 p., 548466 bytes, 2780985 bytes, application/octet-stream, application/pdf
RelationAIM-1403

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