TAILIEUCHUNG - Báo cáo khoa học: "A FOUNDATION FOR SEMANTIC INTERPRETATION "

Research on semantic interpretation in artificial intelligence goes back to Woods's dissertation (1967, 1968), which introduced procedural semantics in a natural-language front-end for an airline reservation system. Woods's system had rules with patterns that, when they matched part of the parsed input sentence, contributed a string to the semantic representation of the sentence. This string was usually constructed from the terminals of the matched parse tree fragment. | A FOUNDATION FOR SEMANTIC INTERPRETATION Graeme Hirst Department of Computer Science Brown University Providence RI 02912 Abstract Traditionally translation from the parse tree representing a sentence to a semantic representation such as frames or procedural semantics has always been the most ad hoc part of natural language understanding NLU systems. However recent advances in linguistics most notably the system of formal semantics known as Montague semantics suggest ways of putting NLU semantics onto a cleaner and Srmer foundation. We are using a Montague-inspired approach to semantics in an integrated NLU and problem-solving system that we are building. Like Montague s our semantics are compositional by design and strongly typed with semantic rules in one-to-one correspondence with the meaning-affecting rules of a Marcus-sty e parser. We have replaced Montague s semantic objects functors and truth conditions with the elements of the frame language Frail and added a word sense and case slot disambiguation system. The result is a foundation for semantic interpretation that we believe to be superior to previous approaches. 1. Introduction By semantic interpretation we mean the process of mapping from a syntactically analyzed sentence of natural language to a representation of its meaning. We exclude from semantic interpretation any consideration of discourse pragmatics rather discourse pragmatics operate upon the output of the semantic interpreter. We also exclude syntactic analysis the integration of syntactic and semantic analysis becomes very messy when complex syntactic constructions are considered and moreover it is our observation that those who argue for the integration of the two are usually arguing for subordinating the role of syntax a position we reject. This is not to say that parsing can get by without semantic help indirect object finding Thia work was supported by the Office of Naval Research under contract number N00014 79 C-0592. and prepositional .

• Báo cáo khoa học
• A FOUNDATION FOR SEMANTIC INTERPRETATION
• Graeme Hirst
• Long Papers
• scientific reports
• model language
• process natural language
• 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
• NATURAL LANGUAGE
• 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