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{ "item_title" : "Computing Natural Language", "item_author" : [" Atocha Aliseda-Llera", "Rob Van Glabbeek", "Dag Westerståhl "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/57/586/100/1575861003_b.jpg", "price_data" : { "retail_price" : "27.00", "online_price" : "27.00", "our_price" : "27.00", "club_price" : "27.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computing Natural Language|Atocha Aliseda-Llera

Computing Natural Language : Context, Structure, and Processes

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781575861005
  • ISBN-10: 1575861003
  • Publisher: Center for the Study of Language and Informat
  • Publish Date: March 1998
  • Dimensions: 8.98 x 6 x 0.39 inches
  • Shipping Weight: 0.54 pounds
  • Page Count: 168

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