TAILIEUCHUNG - Báo cáo khoa học: "Detecting Novel Compounds: The Role of Distributional Evidence"

Research on the discovery of terms from corpora has focused on word sequences whose recurrent occurrence in a corpus is indicative of their terminological status, and has not addressed the issue of discovering terms when data is sparse. This becomes apparent in the case of noun compounding, which is extremely productive: more than half of the candidate compounds extracted from a corpus are attested only once. We show how evidence about established (., frequent) compounds can be used to estimate features that can discriminate rare valid compounds from rare nonce terms in addition to a variety of linguistic features. | Detecting Novel Compounds The Role of Distributional Evidence Mirella Lapata Department of Computer Science University of Sheffield Regent Court 211 Portobello Street Sheffield SI 4DP UK mlap@ Alex Lascarides School of Informatics The University of Edinburgh 2 Buccleuch Place Edinburgh EH8 9LW UK alex@ Abstract Research on the discovery of terms from corpora has focused on word sequences whose recuưent occurrence in a corpus is indicative of their terminological status and has not addressed the issue of discovering terms when data is sparse. This becomes apparent in the case of noun compounding which is extremely productive more than half of the candidate compounds extracted from a corpus are attested only once. We show how evidence about established . frequent compounds can be used to estimate features that can discriminate rare valid compounds from rare nonce terms in addition to a variety of linguistic features than can be easily gleaned from corpora without relying on parsed text. 1 Introduction The nature and properties of compounds have been studied at length in the theoretical linguistics literature. It is a well-known fact that compound noun formation in English is relatively productive see 1 . Although compounds are typically binary see la b they can be also longer than two words see le . Compounds are commonly written as a concatenation of words see la b or as single words see lc sometimes a hyphen is also used see le . 1 a. income tax b. AT T headquarters c. bathroom d. public-relations e. income-tax relief The use of noun compounds is frequent not only in technical writing and newswire text McDonald 1982 but also in fictional prose Leonard 1984 and spoken language Liberman and Sproat 1992 . Novel compounds are used as a text compression device Marsh 1984 . to pack meaning into a minimal amount of linguistic structure as a deictic device or as a means to classify an entity which has no specific name Downing 1977 . .

• Báo cáo khoa học
• Detecting Novel Compounds
• The Role of Distributional Evidence
• Mirella Lapata
• 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
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• Mark H
• Bursteln