TAILIEUCHUNG - Báo cáo khoa học: "PERSPECTIVES ON PARSING ISSUES"

Nowhere is t h e tension between the two areas of our field--computatlon and llnguistlcs--more apparent than in the issues that arise in connection with parsing natural language input. This panel addresses those issues from both computational and linguisric perspectives. Each panelist has submitted a position paper on some of the questions that appear below. The questions are loosely grouped in three sections. The first concentrates on the computational aspect, the second on the linguistic aspect, and the third on their interactions. . | PERSPECTIVES ON PARSING ISSUES Jane J. Robinson Chair Artificial Intelligence Center SRI International Nowhere is the tension between the two areas of our field computation and linguistics--more apparent than In the issues that arise In connection with parsing natural language Input. This panel addresses those issues from both computational and linguistic perspectives. Each panelist has submitted a position paper on some of the questions that appear below. The questions are loosely grouped in three sections. The first concentrates on the computational aspect the second on the linguistic aspect and the third on their interactions. A preliminary definition For purposes of providing common ground or possibly a common point of departure at the outset I will define parsing as the assigning of labelled syntactic structure to an Input by applying a grammar that defines syntactically well-formed sentences and phrases. Note that the question of whether the grammar does other things as well is left open. In this sense parsing Is distinguished from interpretation which may take many forms such as assigning representations In an unambiguous formal language and Integrating those representations into a data base or into a hearer s belief system. The questions 1. The Computational Perspective What useful purposes if any are served by distinguishing parsing from Interpretation Is computational efficiency Increased Is system building made easier Or Is an Insistence on parsing a hindrance Can we compute an interpretation better without assigning labelled syntactic structures Computational linguists using available computational equipment that Is almost exclusively serial In design have devised parsing algorithms that involve serial search. Yet it Is obvious that many parts of the parsing process could be done In parallel. How might notions of parallel processing VLSI and the like change our views on parsing What might motivate our trying to make parsing procedures simulate human .

• Báo cáo khoa học
• PERSPECTIVES ON PARSING ISSUES
• Jane J
• Robinson
• Workshops
• 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
• 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