TAILIEUCHUNG - Báo cáo khoa học: "A CONNECTIONIST MODEL OF SOME ASPECTS OF ANAPHOR RESOLUTION"

This paper describes some r e c e n t d e v e l o p m e n t s i n language processing involving computational models which more closely resemble the brain in both structure and function. These models employ a large number of interconnected parallel computational units which communicate via weighted levels of excitation and inhibition. A specific model is described which uses this approach to process some fragments of connected discourse. | A CONNECTIONIST MODEL OF SOME ASPECTS OF ANAPHOR RESOLUTION Ronan G. Reilly Educational Research Centre St Patrick s College Drumcondra Dublin 9 Ireland ABSTRACT This paper describes some recent developments In language processing involving computational models which more closely resemble the brain In both structure and function. These models employ a large number of Interconnected parallel computational units which communicate via weighted levels of excitation and Inhibition. A specific model Is described which uses this approach to process some fragments of connected discourse. I CONNECTIONIST MODELS The human brain consists of about 100 000 million neuronal units with between a 1000 and 10 000 connections each. The two main classes of cells In the cortex are the striate and pyramidal cells. The pyramidal cells are generally large and heavily arborized. They are the main output cells of a region of cortex and they mediate connections between one region and the next. The striate cells are smaller and act more locally. The neural circuitry of the cortex is apart from some minor variations remarkably consistent. Its dominant characteristics are its parallelism Its large number processing units and the extensive Interconnection of these units. This Is a fundamentally different structure from the traditional von Neumann model. Those In favor of adopting a connectlonlst approach to modelling human cognition argue that the structure of the human nervous system Is so different from the structure Implicit In current informationprocessing models that the standard approach cannot ultimately be successful. They argue that even at an abstract level removed from immediate neural considerations the fundamental structure of the human nervous system has a pervasive effect. Connectlonist models form a class of spreading activation or active semantic network model. Each primitive computing unit In the network can be thought of as a stylized neuron. Its output Is a function of a .

• Báo cáo khoa học
• A CONNECTIONIST MODEL
• ASPECTS OF ANAPHOR RESOLUTION
• Ronan G
• Reilly
• scientific reports
• model language
• process natural language
• Acquiring Receptive Morphology
• Michael Gasser
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Connectionist Models
• Natural Language Processing
• David L
• Waltz
• REPRESENTATION OF FEATURE SYSTEMS
• NON CONNECTIONIST MOLECULAR MACHINE
• Long Papers
• 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
• Mark H
• Bursteln