TAILIEUCHUNG - Báo cáo khoa học: "Word Sense Induction: Triplet-Based Clustering and Automatic Evaluation"

In this paper a novel solution to automatic and unsupervised word sense induction (WSI) is introduced. It represents an instantiation of the ‘one sense per collocation’ observation (Gale et al., 1992). Like most existing approaches it utilizes clustering of word co-occurrences. This approach differs from other approaches to WSI in that it enhances the effect of the one sense per collocation observation by using triplets of words instead of pairs. The combination with a two-step clustering process using sentence co-occurrences as features allows for accurate results. Additionally, a novel and likewise automatic and unsupervised evaluation method inspired by Sch¨. | Word Sense Induction Triplet-Based Clustering and Automatic Evaluation Stefan Bordag Natural Language Processing Department University of Leipzig Germany sbordag@ Abstract In this paper a novel solution to automatic and unsupervised word sense induction WSI is introduced. It represents an instantiation of the one sense per collocation observation Gale et al. 1992 . Like most existing approaches it utilizes clustering of word co-occurrences. This approach differs from other approaches to WSI in that it enhances the effect of the one sense per collocation observation by using triplets of words instead of pairs. The combination with a two-step clustering process using sentence co-occurrences as features allows for accurate results. Additionally a novel and likewise automatic and unsupervised evaluation method inspired by Schutze s 1992 idea of evaluation of word sense disambiguation algorithms is employed. Offering advantages like reproducability and independency of a given biased gold standard it also enables automatic parameter optimization of the WSI algorithm. 1 Introduction The aim of word sense induction1 WSI is to find senses of a given target word Yarowski 1995 automatically and if possible in an unsupervised manner. WSI is akin to word sense disambiguation WSD both in methods employed and in problems encountered such as vagueness of sense distinctions Kilgarriff 1997 . The input to a WSI algorithm is a target word to be disambiguated . 1Sometimes called word sense discovery Dorow and Widdows 2003 or word sense discrimination Purandare 2004 Velldal 2O05 space and the output is a number of word sets representing the various senses . 3-dimensional expanse locate and office building square . Such results can be at the very least used as empirically grounded suggestions for lexicographers or as input for WSD algorithms. Other possible uses include automatic thesaurus or ontology construction machine translation or information .

• Báo cáo khoa học
• Word Sense Induction
• Triplet Based Clustering
• Automatic Evaluation
• scientific reports
• model language
• process natural language
• Novel Sense Detection
• Jey Han Lau
• Latent Semantic Word Sense Induction
• Disambiguation
• Long Papers
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• A Practical Solution
• Problem of Automatic Word Sense Induction
• Reinhard Rapp
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Bayesian Word Sense Induction
• Samuel Brody
• 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