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This book pursues the recent upsurge of research in the interface
of logic, language and computation, with applications to artificial
intelligence and machine learning. It contains a variety of
contributions to the logical and computational analysis of natural
language. A wide range of logical and computational tools are
employed and applied to such varied areas as context-dependency,
linguistic discourse, and formal grammar. The papers in this volume
cover: context-dependency from philosophical, computational, and
logical points of view; a logical framework for combining dynamic
discourse semantics and preferential reasoning in AI; negative
polarity items in connection with affective predicates; Head-Driven
Phrase Structure Grammar from a perspective of type theory and
category theory; and an axiomatic theory of machine learning of
natural language with applications to physics word problems.
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