Saba (2001) Plausible Reasoning and the Resolution of Quantifier Scope Ambiguities

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Plausible Reasoning and the Resolution of Quantifier Scope Ambiguities

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CONTRIBUTORS:

Author:

Saba, Walid

JOURNAL:

Studia Logica, 67(2), 271 - 289.

YEAR:

2001

PUB TYPE:

Journal Article

SUBJECT(S):

natural language understanding, commonsense reasoning, quantifier scope

DISCIPLINE:

Computer Science

HTTP:

http://www.springerlink.com/content/pj63203273173428/?p=840907a2030b4217b9ec59ee868aa6d2&pi=5

LANGUAGE:

English

PUB ID:

103-432-962 (Last edited on 2007/02/22 12:19:38 US/Mountain)

SPONSOR(S):

ABSTRACT:
Despite overwhelming evidence suggesting that quantifier scope is a phenomenon that must be treated at the pragmatic level, most computational treatments of scope ambiguities have thus far been a collection of syntactically motivated preference rules. This might be in part due to the prevailing wisdom that a commonsense inferencing strategy would require the storage of and reasoning with a vast amount of background knowledge. In this paper we hope to demonstrate that the challenge in developing a commonsense inferencing strategy is in the discovery of the relevant commonsense data and in a proper formulation of the inferencing strategy itself, and that a massive amount of background knowledge is not always required. In particular, we present a very effective procedure for resolving quantifier scope ambiguities at the pragmatic level using simple quantitative data that is readily available in most database environments.

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