TAILIEUCHUNG - Báo cáo khoa học: "Investigating a Generic Paraphrase-based Approach for Relation Extraction"

Taking this route sets up a dual goal: (a) from the generic paraphrasing perspective - an objective evaluation of paraphrase acquisition performance on a concrete application dataset, as well as identifying the additional mechanisms needed to match paraphrases in texts; (b) from the RE perspective investigating the feasibility and performance of a generic paraphrase-based approach for RE. Our configuration assumes a set of entailing templates (non-symmetric “paraphrases”) for the target relation. For example, for the target relation “X interact with Y” we would assume a set of entailing templates as in Tables 3 and 7. . | Investigating a Generic Paraphrase-based Approach for Relation Extraction Lorenza Romano ITC-irst via Sommarive 18 38050 Povo TN Italy romano@ Milen Kouylekov ITC-irst via Sommarive 18 38050 Povo TN Italy kouylekov@ Idan Szpektor Department of Computer Science Bar Ilan University Ramat Gan 52900 Israel szpekti@ Ido Dagan Department of Computer Science Bar Ilan University Ramat Gan 52900 Israel dagan@ Abstract Unsupervised paraphrase acquisition has been an active research field in recent years but its effective coverage and performance have rarely been evaluated. We propose a generic paraphrase-based approach for Relation Extraction RE aiming at a dual goal obtaining an applicative evaluation scheme for paraphrase acquisition and obtaining a generic and largely unsupervised configuration for RE. We analyze the potential of our approach and evaluate an implemented prototype of it using an RE dataset. Our findings reveal a high potential for unsupervised paraphrase acquisition. We also identify the need for novel robust models for matching paraphrases in texts which should address syntactic complexity and variability. 1 Introduction A crucial challenge for semantic NLP applications is recognizing the many different ways for expressing the same information. This semantic variability phenomenon was addressed within specific applications such as question answering information extraction and information retrieval. Recently the problem was investigated within generic application-independent paradigms such as paraphrasing and textual entailment. Eventually it would be most appealing to apply generic models for semantic variability to concrete applications. This paper investigates the applicability of a generic paraphrase-based approach to the Relation Extraction RE task using an available RE dataset of protein interactions. RE is Alberto Lavelli ITC-irst via Sommarive 18 38050 Povo TN Italy lavelli@ highly suitable for such .

• Báo cáo khoa học
• Investigating a Generic Paraphrase based Approach
• Relation Extraction
• Lorenza Romano
• 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
• 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