Parsing = Parsimonious Covering?

Venu Dasigi


Abstract
Many researchers believe that certain aspects of natural language processing, such as word sense disambiguation and plan recognition in stories, constitute abductive inferences. We have been working with a specific model of abduction, called parsimonious covering, applied in diagnostic problem solving, word sense disambiguation and logical form generation in some restricted settings. Diagnostic parsimonious covering has been extended into a dual-route model to account for syntactic and semantic aspects of natural language. The two routes of covering are integrated by defining “open class” linguistic concepts, aiding each other. The diagnostic model has dealt with sets, while the extended version, where syntactic considerations dictate word order, deals with sequences of linguistic concepts. Here we briefly describe the original model and the extended version, and briefly characterize the notions of covering and different criteria of parsimony. Finally we examine the question of whether parsimonious covering can serve as a general framework for parsing.
Anthology ID:
1991.iwpt-1.3
Volume:
Proceedings of the Second International Workshop on Parsing Technologies
Month:
February 13-25
Year:
1991
Address:
Cancun, Mexico
Editors:
Masaru Tomita, Martin Kay, Robert Berwick, Eva Hajicova, Aravind Joshi, Ronald Kaplan, Makoto Nagao, Yorick Wilks
Venue:
IWPT
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
11–20
Language:
URL:
https://aclanthology.org/1991.iwpt-1.3
DOI:
Bibkey:
Cite (ACL):
Venu Dasigi. 1991. Parsing = Parsimonious Covering?. In Proceedings of the Second International Workshop on Parsing Technologies, pages 11–20, Cancun, Mexico. Association for Computational Linguistics.
Cite (Informal):
Parsing = Parsimonious Covering? (Dasigi, IWPT 1991)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-2/1991.iwpt-1.3.pdf