TAILIEUCHUNG - Báo cáo khoa học: "Evaluating and Combining Approaches to Selectional Preference Acquisition"

Previous work on the induction of selectional preferences has been mainly carried out for English and has concentrated almost exclusively on verbs and their direct objects. In this paper, we focus on class-based models of selectional preferences for German verbs and take into account not only direct objects, but also subjects and prepositional complements. We evaluate model performance against human judgments and show that there is no single method that overall performs best. We explore a variety of parametrizations for our models and demonstrate that model combination enhances agreement with human ratings. . | Evaluating and Combining Approaches to Selectional Preference Acquisition Carsten Brockmann School of Informatics The University of Edinburgh 2 Buccleuch Place Edinburgh EH8 9LW UK Abstract Previous work on the induction of se-lectional preferences has been mainly carried out for English and has concentrated almost exclusively on verbs and their direct objects. In this paper we focus on class-based models of selec-tional preferences for German verbs and take into account not only direct objects but also subjects and prepositional complements. We evaluate model performance against human judgments and show that there is no single method that overall performs best. We explore a variety of parametrizations for our models and demonstrate that model combination enhances agreement with human ratings. 1 Introduction Selectional preferences or constraints are the semantic restrictions that a word imposes on the environment in which it occurs. A verb like eat typically takes animate entities as its subject and edible entities as its object. Selectional preferences can most easily be observed in situations where they are violated. For example in the sentence The mountain eats sincerity. both subject and object preferences for the verb eat are violated. The problem of quantifying the degree to which a given predicate . eat semantically fits its arguments has received a lot of attention within computational linguistics. Several approaches have been developed for the induction of selectional preferences and almost all of them rely on the availability of large machine-readable corpora. Probably the most primitive corpus-based model of selectional preferences is co-occurrence frequency. Inspection in a corpus of the types of Mirella Lapata Department of Computer Science University of Sheffield Regent Court 211 Portobello Street Sheffield SI 4DP UK mlap@ nouns eat admits as its objects will reveal that food meal meat or lunch are frequent

• Báo cáo khoa học
• Evaluating and Combining
• Selectional Preference Acquisition
• Carsten Brockmann
• scientific reports
• model language
• process natural language
• BMC Bioinformatics
• High dimensional data
• Model selection
• Model complexity
• Prediction error curves
• Random forest
• Time to event settings
• 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