Mehrnoush Shamsfard and Maryam Sadr Mousavi
Thematic Role Extraction Using Shallow Parsing
2113 - 2119
2008
2
6
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/10674
https://publications.waset.org/vol/18
World Academy of Science, Engineering and Technology
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 rulebased 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
knowledgebased 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.
Open Science Index 18, 2008