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From: rapaport@cse.buffalo.edu (William J. Rapaport)
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Subject: CVA-RELATED WORK AT CMU
Date: Tue, 9 Mar 2004 14:15:34 -0500 (EST)
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Subject: CVA-RELATED WORK AT CMU
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The current issue of the journal Cognitive Science has an article of
related interest to the CVA project (and to SNeRG), by 2 researchers at
Carnegie Mellon University:

Budiu, Raluca; & Anderson, John R. (2004), 
"Intepretation-Based Processing:
A Unified Theory of Semantic Sentence Comprehension",
Cognitive Science
28(1) (January/February): 1-44.

The paper (in a pre-print format) is online (from .buffalo.edu
machines) at:

http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6W48-4BC2MNJ-1-3N&_cdi=6536&_orig=browse&_coverDate=01%2F01%2F2004&_sk=999999999&view=c&wchp=dGLbVzb-zSkWW&_acct=C000037419&_version=1&_userid=681891&md5=e04857d661bda620d57041efaf8b8a43&ie=f.pdf

If you have trouble with that URL, do the following from a .buffalo.edu
machine:

Go to:	Cognitive Science Online at
	http://www.sciencedirect.com/science/journal/03640213

>From there, go to:	Articles in Press -> Article 12


This paper is of interest for several reasons:

1.  Consider the abstract:

------------------------------------------------------------------------
We present interpretation-based processing--a theory of sentence
processing that builds a syntactic and a semantic representation for a
sentence and assigns an interpretation to the sentence as soon as
possible. That interpretation can further participate in comprehension
and in lexical processing and is vital for relating the sentence to the
prior discourse. Our theory offers a unified account of the processing
of literal sentences, metaphoric sentences, and sentences containing
semantic illusions. It also explains how text can prime lexical access.
We show that word literality is a matter of degree and that the speed
and quality of comprehension depend both on how similar words are to
their antecedents in the preceding text and how salient the sentence is
with respect to the preceding text. Interpretation-based processing also
reconciles superficially contradictory findings about the difference in
processing times for metaphors and literals. The theory has been
implemented in ACT-R [Anderson and Lebiere, The Atomic Components of
Thought, Lawrence Erlbaum Associates Publishers, Mahwah, NJ, 1998]. 
------------------------------------------------------------------------

The first few sentences should remind you of SNePS.


2.  Budiu has written a survey of CVA, with an eye towards its
applications to learning metaphors; this paper is already on my CVA
bibliography:

# Budiu, Raluca (1997), "Learning Words in Context: A Survey".
(online from Citeseer, but lately Citeseer's link hasn't worked;
go to my CVA bib online and try the link that's there:
http://www.cse.buffalo.edu/~rapaport/CVA/refs.vocab.html#budiu97

This paper is cited in the CogSci article.


3.  ACT-R is a system with many of the same goals as SNePS/Cassie.  This
paper contains, in Appendix A, "An overview of ACT-R".

-Bill