DocumentCode
304653
Title
PARIS: a parallel inference system
Author
Harabagiu, Sanda M. ; Moldovan, Dan I.
Author_Institution
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear
1996
fDate
16-19 Nov. 1996
Firstpage
216
Lastpage
223
Abstract
This paper presents an inferential system based on abductive interpretation of text. Inference to the best explanation is performed by the recognition of the most economic semantic paths produced by the propagation of markers on a very large linguistic knowledge base. The propagation of markers is controlled by their intrinsic propagation rules, devised from plausible semantic relation chains. An interpretation is inferred whenever two markers collide. Using a very large knowledge base, our inferential system aims at producing interpretations accountable for common sense reasoning. The novelty is that the inference rules model a large variety of implications, as suggested by the knowledge base relations. Textual implicatures are recognized as pragmatic inferences.
Keywords
common-sense reasoning; computational linguistics; knowledge based systems; PARIS; abductive interpretation; common sense reasoning; economic semantic paths; inferential system; intrinsic propagation rules; knowledge base relations; parallel inference system; plausible semantic relation chains; pragmatic inferences; textual implicatures; very large linguistic knowledge base; Computer science; Data mining; Instruments; Joining processes; Natural languages; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
ISSN
1082-3409
Print_ISBN
0-8186-7686-7
Type
conf
DOI
10.1109/TAI.1996.560454
Filename
560454
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