tailieunhanh - Báo cáo khoa học: "A Computational Theory of ProseStyle for Natural Language Generation"

We will begin by describing what we mean by prose style and then introducing the generation task that lead us to this theory, the reproduction of short encyclopedia articles on African tribes. We will then use that task to outline the parts of our theory and the operations of the attachment process. | A Computational Theory of Prose Style for Natural Language Generation David D. McDonald and James D. Pustejovsky Department of Computer and Information Science University of Massachusetts at Amherst 1. Abstract In this paper we report on initial research we have conducted on a computational theory of prose style. Our theory speaks to the following major points 1. Where in the generation process style is taken into account. 2. How a particular prose style is represented what stylistic rules look like 3. What modifications to a generation algorithm are needed what the decision is that evaluates stylistic alternatives 4. What elaborations to the normal description of surface structure are necessary to make it usable as a plan for the text and a reference for these decisions 5. What kinds of information decisions about style have access to. Our theory emerged out of design experiments we have made over the past year with our natural language generation system the Zetalisp program MUMBLE. In the process we have extended MUMBLE through the addition of an additional process that now mediates between content planning and linguistic realization. This new process which we call attachment provides the further significant benefit that text structure is no longer dictated by the structure of the message the sequential order and dominance relationships of concepts in the message no longer force one form onto the words and phrases in the text. Instead rhetorical and intentional directives can be interpreted flexibly in the context of the ongoing discourse and stylistic preferences. The text is built up through composition under the direction of linguistic organizing principles rather than having to follow conceptual principles in lockstep. We will begin by describing what we mean by prose style and then introducing the generation task that lead US to this theory the reproduction of short encyclopedia articles on African tribes. We will then use that task to outline the parts of .

• Báo cáo khoa học
• A Computational Theory of ProseStyle
• Natural Language Generation
• David D
• McDonald
• 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
• 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