TAILIEUCHUNG - Báo cáo khoa học: "Language Independent Authorship Attribution using Character Level Language Models"

We present a method for computerassisted authorship attribution based on character-level n-gram language models. Our approach is based on simple information theoretic principles, and achieves improved performance across a variety of languages without requiring extensive pre-processing or feature selection. | Language Independent Authorship Attribution using Character Level Language Models Fuchun Peng Dale Schuurmanst Vlado Keselp Shaojun Wang School of Computer Science University of Waterloo Canada f3peng dale sjwang @ Faculty of Computing Science Dalhousie University Canada vlado@ Abstract We present a method for computer-assisted authorship attribution based on character-level n-gram language models. Our approach is based on simple information theoretic principles and achieves improved performance across a variety of languages without requiring extensive pre-processing or feature selection. To demonstrate the effectiveness and language independence of our approach we present experimental results on Greek English and Chinese data. We show that our approach achieves state of the art performance in each of these cases. In particular we obtain a 18 accuracy improvement over the best published results for a Greek data set while using a far simpler technique than previous investigations. 1 Introduction Automated authorship attribution is the problem of identifying the author of an anonymous text or text whose authorship is in doubt Love 2002 . A famous example is the Federalist Papers of which twelve are claimed to have been written both by Alexander Hamilton and James Madison Holmes and Forsyth 1995 . Recently vast repositories of electronic text have become available on the Internet making the problem of managing large text collections increasingly important. Automated text categorization TC is a useful way to organize a large document collection by imposing a desired categorization scheme. For example categorizing documents by their author is an important case that has become increasingly useful but also increasingly difficult in the age of web-documents that can be easily copied translated and edited. Author attribution is becoming an important application in web information management and is beginning to play a role in areas such as information

• Báo cáo khoa học
• Language Independent Authorship Attribution
• Character Level Language Models
• Fuchun Pen
• 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