TAILIEUCHUNG - Báo cáo khoa học: "Syntactic and Semantic Kernels for Short Text Pair Categorization"

Automatic detection of general relations between short texts is a complex task that cannot be carried out only relying on language models and bag-of-words. Therefore, learning methods to exploit syntax and semantics are required. In this paper, we present a new kernel for the representation of shallow semantic information along with a comprehensive study on kernel methods for the exploitation of syntactic/semantic structures for short text pair categorization. Our experiments with Support Vector Machines on question/answer classification show that our kernels can be used to greatly improve system accuracy. . | Syntactic and Semantic Kernels for Short Text Pair Categorization Alessandro Moschitti Department of Computer Science and Engineering University of Trento Via Sommarive 14 38100 POVO TN - Italy moschitti@ Abstract Automatic detection of general relations between short texts is a complex task that cannot be carried out only relying on language models and bag-of-words. Therefore learning methods to exploit syntax and semantics are required. In this paper we present a new kernel for the representation of shallow semantic information along with a comprehensive study on kernel methods for the exploitation of syntac-tic semantic structures for short text pair categorization. Our experiments with Support Vector Machines on question answer classification show that our kernels can be used to greatly improve system accuracy. 1 Introduction Previous work on Text Categorization TC has shown that advanced linguistic processing for document representation is often ineffective for this task . Lewis 1992 Furnkranz et al. 1998 Allan 2000 Moschitti and Basili 2004 . In contrast work in question answering suggests that syntactic and semantic structures help in solving TC Voorhees 2004 Hickl et al. 2006 . From these studies it emerges that when the categorization task is linguistically complex syntax and semantics may play a relevant role. In this perspective the study of the automatic detection of relationships between short texts is particularly interesting. Typical examples of such relations are given in Giampiccolo et al. 2007 or those holding between question and answer . Hovy et al. 2002 Punyakanok et al. 2004 Lin and Katz 2003 . if a text fragment correctly responds to a question. In Question Answering the latter problem is mostly tackled by using different heuristics and classifiers which aim at extracting the best answers Chen et al. 2006 Collins-Thompson et al. 2004 . However for definitional questions a more effective approach would be to test if a .

• Báo cáo khoa học
• Syntactic and Semantic Kernels
• Short Text Pair Categorization
• Alessandro Moschitti
• scientific reports
• model language
• process natural language
• Exploiting Syntactic
• Shallow Semantic Kernels
• Question Answer Classification
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• 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