TAILIEUCHUNG - Báo cáo khoa học: "Semantic Role Labeling Using Different Syntactic Views∗"

Semantic role labeling is the process of annotating the predicate-argument structure in text with semantic labels. In this paper we present a state-of-the-art baseline semantic role labeling system based on Support Vector Machine classifiers. We show improvements on this system by: i) adding new features including features extracted from dependency parses, ii) performing feature selection and calibration and iii) combining parses obtained from semantic parsers trained using different syntactic views. . | Semantic Role Labeling Using Different Syntactic Views Sameer Pradhan Wayne Ward Kadri Hacioglu James H. Martin Center for Spoken Language Research University of Colorado Boulder CO 80303 spradhan whw hacioglu martin @ Daniel Jurafsky Department of Linguistics Stanford University Stanford CA 94305 jurafsky@ Abstract Semantic role labeling is the process of annotating the predicate-argument structure in text with semantic labels. In this paper we present a state-of-the-art baseline semantic role labeling system based on Support Vector Machine classifiers. We show improvements on this system by i adding new features including features extracted from dependency parses ii performing feature selection and calibration and iii combining parses obtained from semantic parsers trained using different syntactic views. Error analysis of the baseline system showed that approximately half of the argument identification errors resulted from parse errors in which there was no syntactic constituent that aligned with the correct argument. In order to address this problem we combined semantic parses from a Minipar syntactic parse and from a chunked syntactic representation with our original baseline system which was based on Charniak parses. All of the reported techniques resulted in performance improvements. 1 Introduction Semantic Role Labeling is the process of annotating the predicate-argument structure in text with se This research was partially supported by the ARDA AQUAINT program via cOntract OCG4423B and by the NSF via grants IS-9978025 and ITR HCI 0086132 mantic labels Gildea and Jurafsky 2000 Gildea and Jurafsky 2002 Gildea and Palmer 2002 Sur-deanu et al. 2003 Hacioglu and Ward 2003 Chen and Rambow 2003 Gildea and Hockenmaier 2003 Pradhan et al. 2004 Hacioglu 2004 . The architecture underlying all of these systems introduces two distinct sub-problems the identification of syntactic constituents that are semantic roles for a given predicate and

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