tailieunhanh - Báo cáo khoa học: "A Computational Semantics for Natural Language"

In the new Head-driven Phrase Structure G r a m m a r (HPSG) language processing system that is currently under development at Hewlett-Packard Laboratories, the Montagovian semantics of the earlier GPSG system (see [Gawron et al. 19821) is replaced by a radically different approach with a number of distinct advantages. In place of the lambda calculus and standard first-order logic, our medium of conceptual representation is a new logical forrealism called NFLT (Neo-Fregean Language of Thought); compositional semantics is effected, not by schematic lambda expressions, but by LISP procedures that operate on NFLT expressions to produce new expressions | A Computational Semantics for Natural Language Lewis G. Creary and Carl J. Pollard Hewlett-Packard Laboratories 1501 Page Mill Road Palo Alto CA 94304 USA Abstract In the new Head-driven Phrase Structure Grammar HPSG language processing system that is currently under development at Hewlett-Packard Laboratories the Montagovian semantics of the earlier GPSG system see Gawron et al. 1982 is replaced by a radically different approach with a number of distinct advantages. In place of the lambda calculus and standard first-order logic our medium of conceptual representation is a new logical formalism called NFLT Neo-Fregean Language of Thought compositional semantics is effected not by schematic lambda expressions but by LISP procedures that operate on NFLT expressions to produce new expressions. NFLT has a number of features that make it well-suited for natural language translations including predicates of variable arity in which explicitly marked situational roles supercede order-coded argument positions sortally restricted quantification a compositional but nonextensional semantics that handles causal contexts and a principled conceptual raising mechanism that we expect to lead to a computationally tractable account of propositional attitudes. The use of semantically compositional LISP procedures in place of lambda-schemas allows US to produce fully reduced translations on the fly with no need for post-processing. This approach should simplify the task of using semantic information such as sortal incompatibilities to eliminate bad parse paths. 1. Introduction Someone who knows a natural language is able to use utterances of certain types to give and receive information about the world. How can we explain this We take as our point of departure the assumption that members of a language community share a certain mental system a grammar that mediates the correspondence between utterance types and other things in the world such as individuals relations and states of .

• Báo cáo khoa học
• A Computational Semantics
• Natural Language
• Lewis G
• Creary and Carl J
• Pollard
• scientific reports
• model language
• process natural language
• Vietnamese Question Answering System
• Definite clause grammar
• Computational semantics
• Inferable semantics
• Semantic representation
• Semantic expression
• Speech and Language Processing
• Introduction to natural language processing
• Computational linguistics
• Statistical parsing
• Computational lexical semantics
• The Computational Lexical Semantics
• Syntagmatic Relations
• Evelyne Viegas
• Stephen Beale and Sergei Nirenburg
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Incrementality
• the So called Punctuality of Events
• A COMPUTATIONAL VIEW
• THE COGNITIVE SEMANTICS
• SPATIAL PREPOSITIONS
• SOME COMPUTATIONAL ASPECTS
• SITUATION SEMANTICS
• Jon Barwise Philosophy
• LINGUISTIC AND COMPUTATIONAL SEMANTICS
• Brian Cantwell Smith
• Long Papers
• Jan Tore
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• INTERACTION WITH MACHINES
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln