TAILIEUCHUNG - Báo cáo khoa học: "WebCAGe – A Web-Harvested Corpus Annotated with GermaNet Senses"

This paper describes an automatic method for creating a domain-independent senseannotated corpus harvested from the web. As a proof of concept, this method has been applied to German, a language for which sense-annotated corpora are still in short supply. The sense inventory is taken from the German wordnet GermaNet. The web-harvesting relies on an existing mapping of GermaNet to the German version of the web-based dictionary Wiktionary. The data obtained by this method constitute WebCAGe (short for: Web-Harvested Corpus Annotated with GermaNet Senses), a resource which currently represents the largest sense-annotated corpus available for German. . | WebCAGe - A Web-Harvested Corpus Annotated with GermaNet Senses Verena Henrich Erhard Hinrichs and Tatiana Vodolazova University of Tubingen Department of Linguistics @ Abstract This paper describes an automatic method for creating a domain-independent sense-annotated corpus harvested from the web. As a proof of concept this method has been applied to German a language for which sense-annotated corpora are still in short supply. The sense inventory is taken from the German wordnet GermaNet. The web-harvesting relies on an existing mapping of GermaNet to the German version of the web-based dictionary Wiktionary. The data obtained by this method constitute WebCAGe short for Web-Harvested Corpus Annotated with GermaNet Senses a resource which currently represents the largest sense-annotated corpus available for German. While the present paper focuses on one particular language the method as such is language-independent. 1 Motivation The availability of large sense-annotated corpora is a necessary prerequisite for any supervised and many semi-supervised approaches to word sense disambiguation WSD . There has been steady progress in the development and in the performance of WSD algorithms for languages such as English for which hand-crafted sense-annotated corpora have been available Agirre et al. 2007 Erk and Strapparava 2012 Mihalcea et al. 2004 while WSD research for languages that lack these corpora has lagged behind considerably or has been impossible altogether. Thus far sense-annotated corpora have typically been constructed manually making the creation of such resources expensive and the compilation of larger data sets difficult if not completely infeasible. It is therefore timely and appropriate to explore alternatives to manual annotation and to investigate automatic means of creating sense-annotated corpora. Ideally any automatic method should satisfy the following criteria 1 The method used should be language independent .

• Báo cáo khoa học
• WebCAGe A Web Harvested Corpus Annotated
• GermaNet Senses
• Verena Henrich
• 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