The Logic and Representation of Properties and              Propositions for Computer Natural Language Processing
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This research, by a team of cognitive scientists at the                    University of Texas at Austin, develops a theory of attitudes. The              theory is based on logical and computational models. In particular,             the dynamics of attitudes, the mechanism by which they change in                response to information input, are being investigated.                               Modeling of attitudes is important to knowledge and database               systems since automated natural language processing systems have                proved unable to understand unrestricted narrative, exposition, or              dialogue without additional contextual information such as the                  attitudes of speaker and listener.   Models and systems which                   bring this additional context to bear are therefore crucial.
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