TAILIEUCHUNG - Báo cáo khoa học: "DISCOURSE ENTITIES IN JANUS"

This paper addresses issues that arose in applying the model for discourse entity (DE) generation in B. Webber's work (1978, 1983) to an interactive multimodal interface. Her treatment was extended in 4 areas: (1)the notion of context dependence of DEs was formalized in an intensional logic, (2)the treatment of DEs for indefinite NPs was modified to use skolem functions, (3)the treatment of dependent quantifiers was generalized, and (4) DEs originating from non-linguistic sources, such as pointing actions, were taken into account. The discourse entities are used in intra- and extra-sentential pronoun resolution in BBN Janus. . | DISCOURSE ENTITIES IN JANUS Damans M. Ayuso BBN Systems and Technologies Corporation 10 Moulton Street Cambridge Massachusetts 02138 dayuso@ Abstract This paper addresses Issues that arose in applying the model for discourse entity DE generation in B. Webber s work 1978 1983 to an interactive multimodal interface. Her treatment was extended in 4 areas 1 the notion of context dependence of DEs was formalized in an intensional logic 2 the treatment of DEs for indefinite NPs was modified to use skolem functions 3 the treatment of dependent quantifiers was generalized and 4 DEs originating from non-linguistic sources such as pointing actions were taken into account. The discourse entities are used in intra- and extra-sentential pronoun resolution in BBN Janus. 1 Introduction Discourse entities DEs are descriptions of objects groups of objects events etc. from the real world or from hypothesized or possible worlds that are evoked in a discourse. Any communicative act be it spoken written gestured or system-initiated can give rise to DEs. As a discourse progresses an adequate discourse model must represent the relevant entities and the relationships between them Grosz and Sidner 1986 . A speaker may then felicitously refer anaphorically to an object subject to focusing or centering constraints Grosz et al. 1983 Sidner 1981 1983 Brennan et al. 1987 if there is an existing DE representing It or if a corresponding DE may be directly inferred from an existing DE. For example the utterance Every senior in Milford High School has a car gives rise to at least 3 entities describable in English as the seniors in Milford High School Milford High School and the set of cars each of which is owned by some senior in Milford High School . These entities may then be accessed by the following next utterances respectively They graduate in June. It s a good school. They completely fill the parking lot. Webber 1978 1983 addressed the question of determining what discourse entities .

• Báo cáo khoa học
• DISCOURSE ENTITIES IN JANUS
• Damaris M
• Ayuso
• 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