Computing Natural Language pursues the recent increased interest 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; This volume is a collection of papers illustrating state-of-the-art interdisciplinary research collecting logic, language, computation and AI. The papers in this volume deal with context-dependency from philosophical, computational, and logical points of view. A logical framework for combining dynamic discourse semantics and preferential reasoning in AI is also presented. Other subjects include 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.