TAILIEUCHUNG - Báo cáo khoa học: "Generating referring expressions with a unification grammar"

A simple formalism is proposed to represent the contexts in which pronouns, definite/indefinite descriptions, and ordinal descriptions (. 'the second book') can be used, and the way in which these expressions change the context. It is shown that referring expressions can be generated by a unification grammar provided that some phrase-structure rules are specially tailored to express entities in the current knowledge base. | Proceedings of EACL 99 Generating referring expressions with a unification grammar Richard Power Information Technology Research Institute University of Brighton Lewes Road Brighton BN2 4AT UK Abstract A simple formalism is proposed to represent the contexts in which pronouns def-inite indefinite descriptions and ordinal descriptions . the second book can be used and the way in which these expressions change the context. It is shown that referring expressions can be generated by a unification grammar provided that some phrase-structure rules are specially tailored to express entities in the current knowledge base. 1 Introduction Nominal referring expressions are exceptionally sensitive to linguistic context. If a discourse mentions a book potential referring expressions include it a book the book another book the second book along with an unlimited number of more complex descriptions . the red book that mention the book s properties. The choice among these alternatives depends on features of the preceding text whether the referent has been mentioned before whether it is currently a focus of attention whether different referents of the same type . other books have been introduced as well. Taking account of such factors poses a tricky problem for Natural Language Generation nlg especially in applications in which efficiency . fast generation of texts is a priority. This paper proposes a method that allows efficient generation of referring expressions through a unification grammar at the cost of some initial effort in tailoring the phrase-structure rules to the current knowledge base. The method was invented to meet the needs of applications using WYSIWYM editing Power and Scott 1998 which allow an author to control the content of an automatically generated text without prior training in knowledge engineering. WYSIWYM is based Figure 1 Network representation of an instruction on the idea of a feedback text . a text .

• Báo cáo khoa học
• Generating referring expressions
• a unification grammar
• Richard Power
• scientific reports
• model language
• process natural language
• Open Domains
• Advaith Siddharthan Ann Copestake
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Using aggregation
• selecting content
• A Best First Search Algorithm
• Helmut Horacek
• Involving Relations
• 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
• Natural Language Processing
• Mark H
• Bursteln