TAILIEUCHUNG - Báo cáo khoa học: "Incremental Parsing Models for Dialog Task Structure"

In this paper, we present an integrated model of the two central tasks of dialog management: interpreting user actions and generating system actions. We model the interpretation task as a classi cation problem and the generation task as a prediction problem. These two tasks are interleaved in an incremental parsing-based dialog model. We compare three alternative parsing methods for this dialog model using a corpus of human-human spoken dialog from a catalog ordering domain that has been annotated for dialog acts and task/subtask information. We contrast the amount of context provided by each method and its impact on performance. . | Incremental Parsing Models for Dialog Task Structure Srinivas Bangalore and Amanda J. Stent AT T Labs - Research Inc. 180 Park Avenue Florham Park NJ 07932 USA srini stent @ Abstract In this paper we present an integrated model of the two central tasks of dialog management interpreting user actions and generating system actions. We model the interpretation task as a classification problem and the generation task as a prediction problem. These two tasks are interleaved in an incremental parsing-based dialog model. We compare three alternative parsing methods for this dialog model using a corpus of human-human spoken dialog from a catalog ordering domain that has been annotated for dialog acts and task subtask information. We contrast the amount of context provided by each method and its impact on performance. 1 Introduction Corpora of spoken dialog are now widely available and frequently come with annotations for tasks games dialog acts named entities and elements of syntactic structure. These types of information provide rich clues for building dialog models Grosz and Sidner 1986 . Dialog models can be built offline for dialog mining and summarization or online for dialog management . A dialog manager is the component of a dialog system that is responsible for interpreting user actions in the dialog context and for generating system actions. Needless to say a dialog manager operates incrementally as the dialog progresses. In typical commercial dialog systems the interpretation and generation processes operate independently of each other with only a small amount of shared context. By contrast in this paper we describe a dialog model that 1 tightly integrates interpretation and generation 2 makes explicit the type and amount of shared context 3 includes the task structure of the dialog in the context 4 can be trained from dialog data and 5 runs incrementally parsing the dialog as it occurs and interleaving generation and interpretation. At the core of

• Báo cáo khoa học
• Incremental Parsing Models
• Dialog Task Structure
• Srinivas Bangalore and Amanda J
• Stent
• 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
• 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