TAILIEUCHUNG - Báo cáo khoa học: "TEXT UNDERSTANDING WITH MULTIPLE KNOWLEDGE SOURCES: AN EXPERIMENT IN DISTRIBUTED PARSING"

A novel approach to the problem of text understanding is presented, which exploits a distributed processing concept, where knowledge from different sources comes into play in the course of comprehension. In the paper the rationale of advocating such an approach and in following it are discussed. A prototype parser based on an original distributed problem-solving architecture is presented. It encompasses a centralized declarative control module and a collection of decentralized, loosely coupled, heterogeneous problem solvers specialized in the vadous facets of the parsing task. . | TEXT UNDERSTANDING WITH MULTIPLE KNOWLEDGE SOURCES AN EXPERIMENT IN DISTRIBUTED PARSING Cinzia Costantini Danilo Fum Giovanni Guida Angelo Montanari Cado Tasso Laboratorio di Intelligenza Artificiale Dipartimento di Matematica e Informatica Universita di Udine Udine Italy ABSTRACT A novel approach to the problem of text understanding is presented which exploits a distributed processing concept where knowledge from different sources comes into play in the course of comprehension. In the paper the rationale of advocating such an approach and the advantages in following it are discussed. A prototype parser based on an original distributed problem-solving architecture is presented. It encompasses a centralized declarative control module and a collection of decentralized loosely coupled heterogeneous problem solvers specialized in the various facets of the parsing task. The mechanisms of coordination and communication among the specialists are illustrated and an example of the parser operation is given. The parser is implemented in LISP on a SUN workstation. 1. INTRODUCTION The processes underlying text understanding involve a variety of complex multifaceted activities which have not been yet completely understood from the cognitive point of view and which still lack adequate computational models. Recent research trends in cognitive science and artificial intelligence however have put forward some ideas concerning human cognition and automatic problem solving that offer promising tools for the design of text understanding systems. One of the key ideas emerged in the field of cognitive study of natural language comprehension is that text understanding constitutes in humans an interactive process where bottom-up data-driven activities combine with top-down expectation-driven ones to cooperatively determine the most likely interpretation of the input Lesgold and Perfetti 1981 . Roughly speaking humans begin with a set of expectations about what information is likely to be

• Báo cáo khoa học
• TEXT UNDERSTANDING
• MULTIPLE KNOWLEDGE SOURCES
• AN EXPERIMENT IN DISTRIBUTED PARSING
• scientific reports
• model language
• process natural language
• Towards Interactive
• Marc Dymetman
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• A lexicon of discourse markers
• text generation
• understanding
• SOMELINGUISTIC ASPECTS FORAUTOMATIC
• Yutaka Kusanag
• BMC Cancer
• Cancer survivorship
• Machine learning
• Text analysis
• Cancer patients
• information technology
• curriculum
• data management
• Oracle Database
• Oracle Text Queries
• SQL Plus
• 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