TAILIEUCHUNG - Báo cáo khoa học: "Classifying the Hungarian Web"

In this paper we present some lessons learned from building viz s la, the keyword search and topic classification system used on the largest Hungarian portal, [ origo .hu]. Based on a simple statistical language model, and the large-scale supporting evidence from vizsla, we argue that in topic classification only positive evidence matters. | Classifying the Hungarian Web András Kornai Metacarta Inc. 875 Massachusetts Ave. Cambridge MA 02139 andras@ Marc Krellenstein Reed-Elsevier Inc. 200 Wheeler Rd. Burlington MA 01803 Michael Mulligan divine Inc. 1 Wayside Road Burlington MA 01803 mulligan@ David Twomey CEHQ Inc. 145 Rosemary Street Ste H Needham MA 02494 dtwomey@ Fruzsina Veress Teragram Corp. 236 Huntington Ave. Boston MA 02115 veress@ Alec Wysoker deNovis Inc. One Cranberry Hill Suite 203 Lexington MA 02421 Abstract In this paper we present some lessons learned from building vizsla the keyword search and topic classification system used on the largest Hungarian portal . Based on a simple statistical language model and the large-scale supporting evidence from vi z sla we argue that in topic classification only positive evidence matters. 0 Introduction Novices are often attracted to menu-based portals because these are easy to navigate. As they get more familiar with the web users soon realize that their portal covers only a tiny fraction of the web and move to keyword search engines. But as their information needs and sophistication grow so does their frustration with simple keyword search. As a result seemingly obscure features such as boolean searches wildcards and topic classification become increasingly relevant to them. To most users the ideal system would be one that combines the ease of navigation provided . by Yahoo with the near-exhaustive coverage provided . by Google. But topic classification the Yahoo way by professional editors is expensive and the results of using amateur editors as in dmo z are often highly questionable. One way to address the problem of low editorial bandwidth is to automate the topic classification process. Section 1 of this paper describes a Hungarian portal that uses both manual and automatic topic classification and gives a brief overview of the keyword

• Báo cáo khoa học
• Classifying the Hungarian Web
• Andras Kornai
• 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
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• Taxonomy
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• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln