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International Journal of Intelligent Systems
Article . 1988 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article
Data sources: zbMATH Open
DBLP
Article . 2017
Data sources: DBLP
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Estimating semantic content: An A priori approach

Estimating semantic content: An a priori approach
Authors: Joseph S. Fulda;

Estimating semantic content: An A priori approach

Abstract

We present our research into the use of the logical structure of natural language discourse to generate estimates of the quantity of semantic content contained within a passage. These estimates of the degree of meaningfulness are recovered from the logical form of the passage, without actually recovering its meaning or necessitating real understanding. We first consider analysis of statements in the propositional calculus, then consider analysis of the logical within propositions, as formalized by the predicate calculus. Along the way, we consider several questions related to logic and meaning and introduce several interesting results. The theory and methodology we develop has potential application to a natural language preprocessor for a priori skimming and the production of abstracts, although for now the input should be specified in logical form, rather than in a natural language.

Related Organizations
Keywords

Artificial intelligence, semantic content, Semantics in the theory of computing, logical structure of natural language discourse, predicate calculus, natural language processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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