tailieunhanh - Báo cáo khoa học: "Translation and Extension of Concepts Across Languages"

We present a method which, given a few words defining a concept in some language, retrieves, disambiguates and extends corresponding terms that define a similar concept in another specified language. This can be very useful for cross-lingual information retrieval and the preparation of multi-lingual lexical resources. We automatically obtain term translations from multilingual dictionaries and disambiguate them using web counts. We then retrieve web snippets with cooccurring translations, and discover additional concept terms from these snippets | Translation and Extension of Concepts Across Languages Dmitry Davidov iCnc The Hebrew University of Jerusalem dmitry@ Ari Rappoport Institute of Computer Science The Hebrew University of Jerusalem arir@ Abstract We present a method which given a few words defining a concept in some language retrieves disambiguates and extends corresponding terms that define a similar concept in another specified language. This can be very useful for cross-lingual information retrieval and the preparation of multi-lingual lexical resources. We automatically obtain term translations from multilingual dictionaries and disambiguate them using web counts. We then retrieve web snippets with cooccurring translations and discover additional concept terms from these snippets. Our term discovery is based on coappearance of similar words in symmetric patterns. We evaluate our method on a set of language pairs involving 45 languages including combinations of very dissimilar ones such as Russian Chinese and Hebrew for various concepts. We assess the quality of the retrieved sets using both human judgments and automatically comparing the obtained categories to corresponding English WordNet synsets. 1 Introduction Numerous NLP tasks utilize lexical databases that incorporate concepts or word categories sets of terms that share a significant aspect of their meanings . terms denoting types of food tool names etc . These sets are useful by themselves for improvement of thesauri and dictionaries and they are also utilized in various applications including textual entailment and question answering. Manual development of lexical databases is labor intensive error prone and susceptible to arbitrary human decisions. While databases like WordNet WN are invaluable for NLP for some applications any offline resource would not be extensive enough. Frequently an application requires data on some very specific topic or on very recent news-related events. In these cases even .

• Báo cáo khoa học
• Translation and Extension
• Concepts Across Languages
• Dmitry Davidov
• 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