TAILIEUCHUNG - Báo cáo khoa học: "A MODEL OF SENTENCE PRODUCTION"

The paper describes GEMS, a system for Generating and Expressing the Meaning of Sentences, focussing on the generation task, . how GEMS extracts a set of propositional units from a knowledge store that can be expressed with a well-formed sentence in a target language. GEMS is lexically distributed. After a central processor has selected the first unit(s) from the knowledge store and activated the corresponding lexical entry, the further construction of the sentences meaning is entrusted to the entries in the vocabulary. Examples of how GEMS constructs the meaning of a number of English sentence types are briefly described | GEMS A MODEL OF SENTENCE PRODUCTION Domenico Parisi Alessandra Giorgi Istituto di Psicologla del . Reparto Process Cognitivi e Intelligenza Artiflciale Via de Monti Tiburtini 509 00157 Roma Italy ABSTRACT The paper describes GEMS a system for Generating and Expressing the Meaning of Sentences focussing on the generation task . how GEMS extracts a set of propositional units from a knowledge store that can be expressed with a well-formed sentence in a target language. GEMS is lexically distributed. After a central processor has selected the first unit s from the knowledge store and activated the corresponding lexical entry the further construction of the sentences meaning is entrusted to the entries in the vocabulary. Examples of how GEMS constructs the meaning of a number of English sentence types are briefly described. 1. Constructing the meaning of sentences Most work on natural language generation has been concerned with the production of connected text Davey 1979 Goldman 1975 Mann and Moore 1981 Meehan 1977 or with language generation as a goal-directed planned activity Appelt 198O Mann and Moore 1981 . Less attention has been dedicated to the linguistic details of sentence generation . to constructing a general device for imposing the appropriate linguistic form to the content that must be expressed but see Kempen and Hoenkamp 1982 . The alm of this paper 13 to describe GEMS a system for Generating and Expressing the Meaning of Sentences. GEMS takes a store of knowledge as input and gives English sentences expressing that knowledge as output. The knowledge contained in the knowledge store is purely conceptual knowledge with no trace of linguistic form. There is no partitioning of knowledge in parts which can be expressed by single sentences or by single lexical items no grammatical labelling of items as verbs nouns or subjects objects etc. no other traces of syntactic or lexical form. Hence a first task of GEMS is to extract from the knowledge store

• Báo cáo khoa học
• A MODEL OF SENTENCE PRODUCTION
• Domenico Parisi
• Long Papers
• 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
• 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