tailieunhanh - Báo cáo khoa học: "WORD AND OBJECT IN DISEASE DESCRIPTIONS"

The original purpose of the book was to introduce a standard nomenclature of disease names, and the attributes are o r g a n i z e d in conventional medical form: a d e f i n i t i o n consists of a brief d e s c r i p t i o n of the relevant symptoms, signs, laboratory findings, and the like. Each disease is, in addition, assigned to one (or at most two) of eleven disease categories which enumerate p h y s i o l o g i c a l systems (skin, respiratory, cardiovascular, etc.). | WORD AND OBJECT IN DISEASE DESCRIPTIONS . Blois . Sherertz . Tuttle Section on Medical Information Science University of California San Francisco Experiments were conducted on a book. Current Medical Information and Terminology AMA Chicago 1971 edited by Burgess Gordon . which is a compendium of 3262 diseases each of which is defined by a collection of attributes. The original purpose of the book was to introduce a standard nomenclature of disease names and the attributes are organized in conventional medical form a definition consists of a brief description of the relevant symptoms signs laboratory findings and the like. Each disease is in addition assigned to one or at most two of eleven disease categories which enumerate physiological systems skin respiratory cardiovascular etc. . While the editorial style of the book is highly telegraphic with many attributes being expressed as single words it is nevertheless easily readable see Figure 1 . The vocabulary employed consists of about 19 000 distinct words determined by a lexical definition roughly divided equally between common English words and medical terms. We measured word frequency by disease occurrence the number of disease definitions in which a given word occurs one or more times . By this measure only seven words occurred in more than half the disease definitions and about 40 of the vocabulary occurred in only a single disease definition. Table 1 lists the words at the top of the frequency list together with the number of occurrences. Assisted by the facilities of the UNIX operating system we created a series of inverted files from a magnetic tape of the CMIT text and developed a set of interactive programs to form a word-and-context query system. This system has enabled us to study the problem of inferring term reference in this large sample of text some 333 000 word occurrences within the context of diseases. An interesting early result was the ease with which many medical terms could be .

• Báo cáo khoa học
• WORD AND OBJECT
• DISEASE DESCRIPTIONS
• M
• Blois
• 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
• 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