tailieunhanh - Báo cáo khoa học: "CONVEYING IMPLICIT CONTENT IN NARRATIVE"

One of the key characteristics of any summary is that it must be concise. To achieve this the content of the summary (1) must be focused on the key events, and (2) should leave out any information that she audience can infer on their own. We have recently begun a project on summarizing simple narrative stories. In our approach, we assume that the focus of the story has already been determined and is explicitly given in the story's lung-term representation; we concentrate instead on how one can plan what inferences an audience will be able to make when. | CONVEYING IMPLICIT CONTENT IN NARRATIVE SUMMARIES Malcolm E. Cook Wendy G. Lehnert David D. McDonald Department of Computer and Information Science University of Massachusetts Amherst Massachusetts 01003 ABSTRACT One of the key characteristics of any summary is that it must be concise. To achieve this the content of the summary 1 must be focused on the key events and 2 should leave out any information that the audience can infer on their own. We have recently begun a project on summarizing simple narrative stories. In our approach we assume that the focus of the story has already been determined and is explicitly given in the story s long-term representation we concentrate instead on how one can plan what inferences an audience will be able to make when they read a summary. Our conclusion is that one should think about inferences as following from the audience s recognition of the central concepts m the story s plot and then plan the textual structure of the summary so as to reinforce that recognition. BACKGROUND This research builds on our previous work on narrative structure and generation. We are using Hot Units Lehnert 1981 to represent the structure of the original narrative and use Mumble McDonald 1983 to do the linguistic realization. To connect these two facilities we have a new interface and a new text planning component named Precis . Plot units are a technique for organizing the conceptual representation of a narrative in such a way that the topological structure of the representation directly indicates which events are central to the story and which are peripheral. A graph of connected plot units is constructed for a story as it is understood based cm the recognition of goal-oriented behavior by the characters and then affective reactions to events. Plot units summarize larger-scale relationships among explicit and implicit events in the story and are oriented toward long term recall rather than appreciation of story style or specific wording. Mumble is

• Báo cáo khoa học
• CONVEYING IMPLICIT
• CONTENT IN NARRATIVE
• 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