tailieunhanh - Báo cáo khoa học: "FROM STRUCTURE-DRIVEN SEPARATE SEMANTIC GENERATION REPRESENTATIONS"

A new approach to structure-driven generation is I)resented that is based on a separate semantics as input structure. For the first time, a GPSGbased formalism is complemented with a system of pattern-action rules that relate the parts of a semantics to appropriate syntactic rules. This way a front end generator can be adapted to some application system (such as a machine translation system) more easily than would be possible with many previous generators based on modern grammar formalisms. | STRUCTURE-DRIVEN GENERATION FROM SEPARATE SEMANTIC REPRESENTATIONS Stephan Busemann Deutsches Forschungszentrum fiir Kiinstliche Intelligenz DFKI GmbH Stuhlsatzenhausweg 3 D-6600 Saarbriicken 11 uucp buscmann@ ABSTRACT A new approach to structure-driven generation is presented that is based on a separate semantics as input structure. For the first time a GPSG-based formalism is complemented with a system of pattern-action rules that relate the parts of a semantics to appropriate syntactic rules. This way a front end generator can be adapted to some application system such as a machine translation system more easily than would be possible with many previous generators based on modern grammar formalisms. 1 INTRODUCTION In the field of unification-based computational linguistics current research on tactical natural language NL generation concentrates on the following problem Given a semantic representation which is often called logical form LF and a grammar that includes a lexicon what arc the surface strings corresponding to the semantic representation A variety of approaches to solving this problem in an efficient way has been put forward on the basis of unification-based grammar formalisms with a context-free backbone and complex categories for some discussion see . Shieber et al. 1990 . Most of this work shares a Montagovian view of semantics by assuming that LF be integrated into the grammar rules thus assigning to each syntactic category its semantic representation. Within this integrated-semantics approach the generation task mainly consists of reconstructing a 1 This work was partially funded by the German Minister for Research and Technology BMFT wider contract ITW 9002. Most of the research underlying this article was accomplished within the EUROTRA-D accompanying research project KIT-FAST at the Technical University of Berlin and funded by the BMFT wider contract 1013211. I wish to thank Christa Hauenschild John Nerbonne and Hans Uszkorcit

• Báo cáo khoa học
• FROM STRUCTURE DRIVEN SEPARATE SEMANTIC
• Stephan Busernann
• GENERATION REPRESENTATIONS
• 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