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Thematic Role Extraction Using Shallow Parsing

By Mehrnoush Shamsfard and Maryam Sadr Mousavi

Abstract

Abstract—Extracting thematic (semantic) roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a rule-based approach to extract semantic roles from Persian sentences. The system exploits a twophase architecture to (1) identify the arguments and (2) label them for each predicate. For the first phase we developed a rule based shallow parser to chunk Persian sentences and for the second phase we developed a knowledge-based system to assign 16 selected thematic roles to the chunks. The experimental results of testing each phase are shown at the end of the paper

Topics: requiring some kind of semantic interpretation [1
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.307.7024
Provided by: CiteSeerX
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