TAILIEUCHUNG - Báo cáo khoa học: "Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation"

This paper presents a method for the automatic extraction of subgrammars to control and speeding-up natural language generation NLG. The method is based on explanation-based learning EBL. The main advantage for the proposed new method for NLG is that the complexity of the grammatical decision making process during NLG can be vastly reduced, because the EBL method supports the adaption of a NLG system to a particular use of a language. | Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation Giinter Neumann DFKI GmbH Stuhlsatzenhausweg 3 66123 Saarbrucken Germany Abstract This paper presents a method for the automatic extraction of subgrammars to control and speeding-up natural language generation NLG. The method is based on explanation-based learning EBL. The main advantage for the proposed new method for NLG is that the complexity of the grammatical decision making process during NLG can be vastly reduced because the EBL method supports the adaption of a NLG system to a particular use of a language. 1 Introduction In recent years a Machine Learning technique known as Explanation-based Learning EBL Mitchell Keller and Kedar-Cabelli 1986 van Harmelen and Bundy 1988 Minton et al. 1989 has successfully been applied to control and speeding-up natural language parsing Rayner 1988 Samuelsson and Rayner 1991 Neumann 1994a Samuelsson 1994 Srinivas and Joshi 1995 Rayner and Carter 1996 . The core idea of EBL is to transform the derivations or explanations computed by a problem solver . a parser to some generalized and compact forms which can be used very efficiently for solving similar problems in the future. EBL has primarily been used for parsing to automatically specialize a given source grammar to a specific domain. In that case EBL is used as a method for adapting a general grammar and or parser to the sub-language defined by a suitable training corpus Rayner and Carter 1996 . A specialized grammar can be seen as describing a domain-specific set of prototypical constructions. Therefore the EBL approach is also very interesting for natural language generation NLG . Informally NLG is the production of a natural language text from computer-internal representation of information where NLG can be seen as a complex potentially cascaded decision making process. Commonly a NLG system is decomposed into two major components viz. the strategic .

• Báo cáo khoa học
• Applying Explanation based
• Learning to Control
• Speeding up Natural Language Generation
• 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
• Long Papers
• 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