TAILIEUCHUNG - Báo cáo khoa học: "REQUIREMENTS OF TEXT PROCESSING LEXICONS "

Five years ago, Dwight Bolinger [1] w r o t e that efforts to r e p r e s e n t meaning had not yet made use of the insights of lexicography. The few substantial efforts, s u c h as those spearheaded by Olney [2,3], MelOCuk [4], S m i t h [5], a n d S i m m o n s [6,7], made some progress, but never came to fruition. Today, lexicography and its products, the dictionaries, remain an untapped resource of uncertain value. Indeed, many who have analyzed the contents of a dictionary. | REQUIREMENTS OF TEXT PROCESSING LEXICONS Five years ago Dwight Bolinger L11 wrote that efforts to represent meaning had not yet made use of the insights of lexicography. The few substantial efforts such as those spearheaded by Olney 2 31 Mel Cuk 4 Smith 5 and Simmons 6 7 made some progress but never came to fruition. Today lexicography and its products the dictionaries remain an untapped resource of uncertain value. Indeed many who have analyzed the contents of a dictionary have concluded that it is of little value to linguistics or artificial intelligence. Because of the size and complexity of a dictionary perhaps such a conclusion is inevitable but I believe it is wrong. To avoid becoming irretrievably lost in the minutiae of a dictionary and to view the real potential of this resource it Is necessary to develop a comprehensive model within which a dictionary s detail can be tied together. When this Is done I believe one can Identify the requirements for a semantic representation of an entry In the lexicon to be used In natural language processing systems. I describe herein what I have learned from this type of effort. I began with the objective of Identifying primitive words or concepts by following definitional paths within a dictionary. To search for these I developed a model of a dictionary using the theory of labeled directed graphs. In this model a point or node Is taken to represent a definition and a line or arc Is taken to represent a derivational relationship between definitions with such a model I could use theorems of graph theory to predict the existence and form of primitives within the dictionary. This justified continued effort to attempt to find such primitives The model showed that the big problem to be overcome In trying to find the primitives Is the apparent rampant circularity of defining relationships. To eliminate these apparent vicious circles. It Is necessary to make a precise identification of derivational relationships specifically to .

• Báo cáo khoa học
• REQUIREMENTS OF TEXT
• PROCESSING LEXICONS
• Kenneth Shea Lane
• 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