TAILIEUCHUNG - Báo cáo khoa học: "Semantic Rule Based Text Generation"

This paper presents a semantically oriented, rule based method for single sentence text generation and discusses its implementation in the Kafka generator. This generator is part of the XCALIBUR natural language interface developed at CMU to provide natural language facilities for a wide range of expert systems and data bases. Kafka takes as input the knowledge representation used in XCALIBUR system and incrementally transforms it first into conceptual dependency graphs and then into English? | Semantic Rule Based Text Generation Michael L. Mauldin Department of Computer Science Carnegie-Mellon University Pittsburgh Pennsylvania 15213 USA ABSTRACT This paper presents a semantically oriented rule based method for single sentence text generation and discusses its implementation in the Kafka generator. This generator is part of the XCALIBUR natural language interface developed at CMU to provide natural language facilities for a wide range of expert systems and data bases. Kafka takes as input the knowledge representation used in XCALIBUR system and incrementally transforms it first into conceptual dependency graphs and then into 1. Introduction Transformational text generators have traditionally emphasized syntactic processing. One example is Bates ILIAD system which is based on Chomsky s theory of transformational generative grammar 1 Another is Mann s Nigel program based on the systemic grammar of Halliday 4 In contrast other text generators have emphasized semantic processing of text most notably those systems based on case grammar such as Goldman s BABEL generator 7 and Swanout s GIST 9 . Kafka combines elements of both paradigms in the generation of English text. Kafka is a rule based English sentence generator used in the XCALIBUR natural language interface. Kafka uses a transformational rule interpreter written in Franz Lisp. These transformations are used to convert the XCALIBUR knowledge representation to conceptual dependency graphs and then into English text. Kafka includes confirmalional information in the generated text providing sufficient redundancy for the user to ascertain whether his query command was correctly understood. The goal of this work has been to simplify the text generation process by providing a single computational formalism of sufficient power to implement both semantic and syntactic processing. A prototype system has been written which demonstrates the feasibility of this approach to single sentence text generation.

• Báo cáo khoa học
• Semantic Rule
• Text Generation
• Michael L
• Mauldin
• scientific reports
• model language
• process natural language
• OWL 2 RL
• Datalog with negation
• Semantic Web
• Rule languages
• Nonmonotonic rule language
• A CASE FOR RULE DRIVEN
• SEMANTIC PROCESSING
• Marcha Palmer
• Rule based Acquisition
• Maintenance Lexical
• Semantic Knowledge
• Journal of Computer Science and Cybernetics
• Interpolation based on semantic distance weighting
• Hedge algebra and its application
• Semantic distance weighting
• Bi linear interpolation
• Linguistic rule base system
• Description logics
• Horn fragments
• PTime data complexity
• 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