TAILIEUCHUNG - Báo cáo khoa học: "a Summarization System Integration of Opinion Mining Techniques to Summarize Blogs"

In this paper, we present a novel approach for automatic summarization. Our system, called CBSEAS, integrates a new method to detect redundancy at its very core, and produce more expressive summaries than previous approaches. Moreover, we show that our system is versatile enough to integrate opinion mining techniques, so that it is capable of producing opinion oriented summaries. The very competitive results obtained during the last Text Evaluation Conference (TAC 2008) show that our approach is efficient. . | CBSEAS a Summarization System Integration of Opinion Mining Techniques to Summarize Blogs Aurelien Bossard Michel Genereux and Thierry Poibeau Laboratoire d Informatique de Paris-Nord CNRS UMR 7030 and Universite Paris 13 93430 Villetaneuse France @ Abstract In this paper we present a novel approach for automatic summarization. Our system called CBSEAS integrates a new method to detect redundancy at its very core and produce more expressive summaries than previous approaches. Moreover we show that our system is versatile enough to integrate opinion mining techniques so that it is capable of producing opinion oriented summaries. The very competitive results obtained during the last Text Evaluation Conference TAC 2008 show that our approach is efficient. 1 Introduction During the past decade automatic summarization supported by evaluation campaigns and a large research community has shown fast and deep improvements. Indeed the research in this domain is guided by strong industrial needs fast processing despite ever increasing amount of data. In this paper we present a novel approach for automatic summarization. Our system called CB-SEAS integrates a new method to detect redundancy at its very core and produce more expressive summaries than previous approaches. The system is flexible enough to produce opinion oriented summaries by accommodating techniques to mine documents that express different views or commentaries. The very competitive results obtained during the last Text Evaluation Conference TAC 2008 show that our approach is efficient. This short paper is structured as follows we first give a quick overview of the state of the art. We then describe our system focusing on the most important novel features implemented. Lastly we give the details of the results obtained on the TAC 2008 Opinion Pilot task. 2 Related works Interest in creating automatic summaries has begun in the 1950s Luhn 1958 . Edmundson and Wyllys 1961 .

• Báo cáo khoa học
• a Summarization System Integration
• Opinion Mining Techniques
• Summarize Blogs
• 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