TAILIEUCHUNG - Báo cáo khoa học: "The GOD model"

GOD (General Ontology Discovery) is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally, it acts as a search engine returning a set of true predicates regarding the query instead of the usual ranked list of relevant documents. Our approach relies on two basic assumptions: (i) paradigmatic relations can be established only among terms in the same Semantic Domain an (ii) they can be inferred from texts by analyzing the Subject-Verb-Object patterns where two domain specific terms co-occur. . | The GOD model Alfio Massimiliano Gliozzo ITC-irst Trento Italy gliozzo@ Abstract GOD General Ontology Discovery is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally it acts as a search engine returning a set of true predicates regarding the query instead of the usual ranked list of relevant documents. Our approach relies on two basic assumptions i paradigmatic relations can be established only among terms in the same Semantic Domain an ii they can be inferred from texts by analyzing the Subject-Verb-Object patterns where two domain specific terms co-occur. A qualitative analysis of the system output shows that GOD provide true informative and meaningful relations in a very efficient way. 1 Introduction GOD General Ontology Discovery is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally it acts as a search engine returning a set of true predicates regarding the query instead of the usual ranked list of relevant documents. Such predicates can be perceived as a set of semantic relations explaining the domain of the query . a set of binary predicated involving domain specific entities and concepts. Entities and concepts are referred to by domain specific terms and the relations among them are expressed by the verbs of which they are arguments. To illustrate the functionality of the system below we report an example for the query God. god lord hear prayer god is creator god have mercy faith reverences god lord have mercy jesus_christ is god god banishing him god commanded israelites god was trinity abraham believed god god requires abraham god supply human_need god is holy noah obeyed god From a different perspective GOD is first of all a general system for ontology learning from texts Buitelaar et al. 2005 . Likewise current state-of-the-art methodologies for non-hierarchical relation extraction it exploits shallow .

• Báo cáo khoa học
• The GOD model
• Alfio Massimilian
• Long Papers
• 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
• 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