TAILIEUCHUNG - Báo cáo khoa học: "Company-Oriented Extractive Summarization of Financial News"

The paper presents a multi-document summarization system which builds companyspecific summaries from a collection of financial news such that the extracted sentences contain novel and relevant information about the corresponding organization. The user’s familiarity with the company’s profile is assumed. The goal of such summaries is to provide information useful for the short-term trading of the corresponding company, ., to facilitate the inference from news to stock price movement in the next day. We introduce a novel query (., company name) expansion method and a simple unsupervized algorithm for sentence ranking. The system shows promising results in comparison with. | Company-Oriented Extractive Summarization of Financial News Katja Filippova Mihai Surdeanu Massimiliano Ciaramita Hugo Zaragoza EVIL Research gGmbH Yahoo Research Schloss-Wolfsbrunnenweg 33 Avinguda Diagonal 177 69118 Heidelberg Germany 08018 Barcelona Spain filippova@ mihai s massi hugoz @ Abstract The paper presents a multi-document summarization system which builds companyspecific summaries from a collection of financial news such that the extracted sentences contain novel and relevant information about the corresponding organization. The user s Tamiliarity with the company s profile is assumed. The goal of such summaries is to provide information useful for the short-term trading of the corresponding company . to facilitate the inference from news to stock price movement in the next day. We introduce a novel query . company name expansion method and a simple unsupervized algorithm for sentence ranking. The system shows promising results in comparison with a competitive baseline. 1 Introduction Automatic text summarization has been a field of active research in recent years. While most methods are extractive the implementation details differ considerably depending on the goals of a summarization system. Indeed the intended use of the summaries may help significantly to adapt a particular summarization approach to a specific task whereas the broadly defined goal of preserving relevant although generic information may turn out to be of little use. In this paper we present a system whose goal is to extract sentences from a collection of financial This work was done during the first author s internship at Yahoo Research. Mihai Surdeanu is currently affiliated with Stanford University mihais@ . Massimiliano Ciaramita is currently at Google massi@google. com . news to inform about important events concerning companies . to support trading . buy or sell the corresponding symbol on the next day or managing a portfolio.

• Báo cáo khoa học
• Company Oriented
• Extractive Summarization
• Financial News
• 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