tailieunhanh - Báo cáo khoa học: "The Multilingual Named Entity Recognition Framework"

This paper presents a multilingual system designed to recognize named entities in a wide variety of languages (currently more than 12 languages are concerned). The system includes original strategies to deal with a wide variety of encoding character sets, analysis strategies and algorithms to process these languages. | The Multilingual Named Entity Recognition Framework Thierry Poibeau and the INaLCO Named Entity Group1 INaLCO CRIM 2 rue de Lille 75007 Paris Abstract This paper presents a multilingual system designed to recognize named entities in a wide variety of languages currently more than 12 languages are concerned . The system includes original strategies to deal with a wide variety of encoding character sets analysis strategies and algorithms to process these languages. 1 Introduction Since the MUC conferences about Information Extraction named entity recognition NERC is a well-established task in the NLP community MUC-6 1995 . Examples of named entities are person names location and company names date and time indications etc. A lot of systems have been developed to perform this task ranging from manually created rule-based systems to fully automatic learning-based systems. We will shortly present these technologies Even if a lot of systems have been developed for languages such as English or Japanese a large range of languages do not have access to such a technology. We propose an open framework to develop resources and tools for named entity recognition. A team of computational linguist students develops this 1 The members of the INaLCO Named Entity Group are A. Acoulon c. Avaux L. Beroff-Beneat- A. Cadeau M. Calberg A. Delale L. De Temmerman . Guenet D. Huis M. Jamalpour A. Krul A. Marcus F. Picoli and c. Plancq. project1 so that it also has pedagogic purposes. But even so the project seems to be sufficiently attractive to interest industrial partners. We describe the different approaches for named entity recognition. We then present the project and the different analysis techniques used. We will conclude with some considerations on evaluation and future work. 2 State of the art NERC systems In this section we examine the different approaches to named entity recognition. We then examine previous experiments to compare systems and techniques. Sekine and .

• Báo cáo khoa học
• The Multilingual Named
• Entity Recognition Framework
• Thierry Poibeau
• scientific reports
• model language
• process natural language
• Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia
• Hwanjo Yu
• Long Papers
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Mining Wiki Resources
• Multilingual Named Entity Recognition
• Alexander E
• Richman
• xử lý ngôn ngữ tự nhiên
• Multilingual Document Clustering
• an Heuristic Approach
• Cognate Named Entities
• mô hình ngôn ngữ
• Weakly Supervised Named Entity
• Transliteration and Discovery
• Multilingual Comparable Corpora
• 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
• 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