Using Model Generation to interpret Reciprocal Statements
Claire Gardent
Computational Linguistics
University of the Saarland, Saarbruecken
Although natural language is often ambiguous, knowledge-based
reasoning often helps determine a preferred reading. In this talk, I
will show that model generation can be used to model this process in
the case of reciprocal statements. The proposed analysis is shown to
build on insights from Dalrymple et al. 98 and Hobbs et al. 93 and to
provide an integrated, computational approach to model theoretic
interpretation, world knowledge reasoning and preferences.
Mary Dalrymple, Makoto Kanazawa, Yookyung Kim, Sam Mchombo, and
Stanley Peters
Reciprocal Expressions and the Concept of Reciprocity.
Linguistics and Philosophy 21(2), pp. 159--210. April 1998.
Hobbs, J. and M. Stickel and D. Appelt and P. Martin
Interpretation as abduction.
Artificial Intelligence 63, 1993, pages 69-142.
Joint work with Karsten Konrad