TAILIEUCHUNG - Báo cáo khoa học: "A MODEL OF REVISION IN NATURAL LANGUAGE GENERATION"

We outline a model of generation with revision, focusing on improving textual coherence. We argue that high quality text is more easily produced by iteratively revising and regenerating, as people do, rather than by using an architecturally more complex single pass generator. As a general area of study, the revision process presents interesting problems: Recognition of flaws in text requires a descriptive theory of what constitutes well written prose and a parser which can build a representation in those terms. Improving text requires associating flaws with strategies for improvement. The strategies, in turn, need to know what adjustments to. | A MODEL OF REVISION IN NATURAL LANGUAGE GENERATION Marie M. Vaughan David D. McDonald Department of Computer and Information Science University of Massachusetts Amherst Massachusetts 01003 ABSTRACT We outline a model of generation with revision focusing on improving textual coherence. We argue that high quality text is more easily produced by iteratively revising and regenerating as people do rather than by using an architecturally more complex single pass generator. As a general area of study the revision process presents interesting problems Recognition of flaws in text requires a descriptive theory of what constitutes well written prose and a parser which can build a representation in those terms. Improving text requires associating flaws with strategies for improvement. The strategies in turn need to know what adjustments to the decisions made during the initial generation will produce appropriate modtfications to the text. We compare our treatment of revision with those of Mann and Moore 1981 Gabriel 1984 and Mann 1983 . 1. INTRODUCTION Revision is a large part of the writing process for people. This is one respect in which writing dtffers from speech. In ordinary conversation we do not rehearse what we are going to say however when writing a text which may be used more than once by an audience which is not present we use a multipass system of writing and rewriting to produce optimal text. By reading what we write we seem better able to detect flaws in the text and see new options for improvement. Why most people are not able to produce optimal text in one pass is an open and interesting question. Flower and Hayes 1980 and Collins and Gentner 1980 suggest that writers are unable to juggle the excessive number of simultaneous demands and constraints which arise in producing well written text. Writers must concentrate not only on expressing content and purpose but also on the discourse conventions of written prose the constraints on sentence paragraph and text .

• Báo cáo khoa học
• A MODEL OF REVISION
• NATURAL LANGUAGE GENERATION
• Marie M
• Vaughan David D
• McDonald
• scientific reports
• model language
• process natural language
• User Edits Classification
• Document Revision Histories
• Amit Bronner
• Measuring Contextual Fitness
• Error Contexts Extracted
• the Wikipedia Revision History
• PLAN REVISION
• PERSON MACHINE DIALOGUE
• Cldo JULLIEN
• A revision on EOQ/JIT indifference points
• EOQ/JIT indifference points
• From cost perspective
• Switch the inventory system
• Both EOQ model
• BMC Musculoskeletal Disorders
• Revision total hip replacement
• Femoral bone defect
• Circumferential metal mesh
• Initial stem stability
• Total hip arthroplasty
• Histological evaluation
• Increasing incidence
• Prosthesis revision surgery
• Procedure duration
• Risk factors
• Total knee arthroplasty
• Cox regression model
• 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
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• 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