TAILIEUCHUNG - Báo cáo khoa học: "Using Cycles and Quasi-Cycles to Disambiguate Dictionary Glosses"

Roberto Navigli Dipartimento di Informatica Sapienza - Universit` di Roma a Via Salaria, 113 - 00198 Roma Italy navigli@ Abstract We present a novel graph-based algorithm for the automated disambiguation of glosses in lexical knowledge resources. A dictionary graph is built starting from senses (vertices) and explicit or implicit relations in the dictionary (edges). The approach is based on the identification of edge sequences which constitute cycles in the dictionary graph (possibly with one edge reversed) and relate a source to a target word sense. Experiments are performed on the disambiguation of ambiguous words in the glosses of WordNet and two machine-readable. | Using Cycles and Quasi-Cycles to Disambiguate Dictionary Glosses Roberto Navigli Dipartimento di Informatica Sapienza - Universita di Roma Via Salaria 113 - 00198 Roma Italy navigli@ Abstract We present a novel graph-based algorithm for the automated disambiguation of glosses in lexical knowledge resources. A dictionary graph is built starting from senses vertices and explicit or implicit relations in the dictionary edges . The approach is based on the identification of edge sequences which constitute cycles in the dictionary graph possibly with one edge reversed and relate a source to a target word sense. Experiments are performed on the disambiguation of ambiguous words in the glosses of WordNet and two machine-readable dictionaries. 1 Introduction In the last two decades we have witnessed an increasing availability of wide-coverage lexical knowledge resources in electronic format most notably thesauri such as Roget s Thesaurus Ro-get 1911 the Macquarie Thesaurus Bernard 1986 etc. machine-readable dictionaries . the Longman Dictionary of Contemporary English Proctor 1978 computational lexicons . WordNet Fellbaum 1998 etc. The information contained in such resources comprises depending on their kind sense inventories paradigmatic relations . fleshn is a kind of plant tissue 1 text definitions . fleshn is defined as a soft moist part of a fruit usage examples and so on. Unfortunately not all the semantics are made explicit within lexical resources. Even Word-Net the most widespread computational lexicon of English provides explanatory information in the form of textual glosses . strings of text 1We denote as wp the ith sense in a reference dictionary of a word w with part of speech p. which explain the meaning of concepts in terms of possibly ambiguous words. Moreover while computational lexicons like WordNet contain semantically explicit information such as among others hypernymy and meronymy relations most thesauri glossaries and .

• Báo cáo khoa học
• Using Cycles
• Quasi Cycles
• Disambiguate Dictionary Glosses
• scientific reports
• model language
• process natural language
• Taguchi grey method to evaluate the performance
• Energy produced by using trilateral flash cycles
• Low grade renewable heat
• The obtained optimal set of factors
• Multi performances of TFC system
• On farm production
• Nucleus inoculums
• Mass inoculum
• Trap crop cycles
• Arbuscular mycorrhizal
• Membrane photobioreactor
• Nutrient removal
• Microalgae bacteria
• Two light dark cycles
• Nitrogen and phosphorus
• Microalgae retention time
• Modified component GARCH
• Long run volatility
• Macroeconomic effect
• Business cycles
• MC GARCH model
• Tillage techniques
• Comparing tillage systems
• Developed infiltration method
• Sandy clayey loam soil
• Wetting drying cycles
• 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