TAILIEUCHUNG - Báo cáo khoa học: "A Logic for Semantic"

We propose that logic (enhanced to encode probability information) is a good way of characterizing semantic interpretation. In support of this we give a fragment of an axiomatization for word-sense disambiguation, nounphrase (and verb) reference, and case disambiguation. We describe an inference engine (Frail3) which actually takes this axiomatization and uses it to drive the semantic interpretation process. We claim three benefits from this scheme. | A Logic for Semantic Interpretation1 Eugene Charniak and Robert Goldman Department of Computer Science Brown University Box 1910 Providence RI 02912 Abstract We propose that logic enhanced to encode probability information is a good way of characterizing semantic interpretation. In support of this we give a fragment of an axiomatization for word-sense disambiguation nounphrase and verb reference and case disambiguation. We describe an inference engine Frail3 which actually takes this axiomatization and uses it to drive the semantic interpretation process. We claim three benefits from this scheme. First the interface between semantic interpretation and pragmatics has always been problematic since all of the above tasks in general require pragmatic inference. Now the interface is trivial since both semantic interpretation and pragmatics use the same vocabulary and inference engine. The second benefit related to the first is that semantic guidance of syntax is a side effect of the interpretation. The third benefit is the elegance of the semantic interpretation theory. A few simple rules capture a remarkable diversity of semantic phenomena. I. Introduction The use of logic to codify natural language syntax is well known and many current systems can parse directly off axiomatizations . l . Many of these systems simultaneously construct an intermediate logical form using the same machinery. At the other end of language processing logic is a well-known tool for expressing the pragmatic information needed for plan recognition and speech act recognition 2-4 . In between these extremes logic appears much less. There has been some movement in the direction of placing semantic interpretation on a more logical footing 5 6 but it is nothing like what has happened at the extremes of the language understanding process. To some degree this is understandable. These middle parts such as word-sense disambiguation noun phrase reference case disambiguation etc. are notoriously

• Báo cáo khoa học
• A Logic for Semantic
• Eugene Charniak
• Long Papers
• scientific reports
• model language
• process natural language
• A Logic based Semantic
• Recognizing Textual Entailment
• Marta Tatu and Dan Moldovan
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• A Logic of Semantic Representations
• Shallow Parsing
• Alexander Koller
• Concept learning
• Description logic based information systems
• Granulating partitions
• Semantic Web
• Doctoral thesis summary
• Computer science
• Description logics
• Horn fragments
• Rule languages
• PTime data complexity
• 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