Inferring Ontology Fragments from Semantic Role Typing of Lexical Variants

Author(s):  
Mitra Bokaei Hosseini ◽  
Travis D. Breaux ◽  
Jianwei Niu
Keyword(s):  
CALL ◽  
2020 ◽  
Vol 2 (1) ◽  
Author(s):  
R. Myrna Nur Sakinah ◽  
Khaerunnisa Siti Latifah ◽  
Jenny Rahmi Nuraeni

This research purposes at describing the roles of semantic study precisely the roles of agent and experiencer in Pudarnya Pesona Cleopatra novel written by Habiburrahman El Shirazy. The research conducted by the writer is qualitative research. The data of this study are agent and experiencer roles that the data source is taken from Pudarnya Pesona Cleopatra novel written by Habiburrahman El Shirazy published in 2003. The method that is used by the writer to collect the data is documentation with the steps: (1) figure out the sentences that contain agent and experiencer in that novel, (2) classify the types of sentences by investigating the novel. In analyzing data, the writer used Saeed’s theory of participant roles for the major theory. The result of this study shows that there are seventeen patterns that are classified into two roles. They are ten sentences of the agent and seven sentences of the experiencer.Keywords: Semantic, Participant Roles, Agent, Experiencer 


2011 ◽  
Vol 22 (2) ◽  
pp. 222-232 ◽  
Author(s):  
Shi-Qi LI ◽  
Tie-Jun ZHAO ◽  
Han-Jing LI ◽  
Peng-Yuan LIU ◽  
Shui LIU

2005 ◽  
Vol 31 (1) ◽  
pp. 71-106 ◽  
Author(s):  
Martha Palmer ◽  
Daniel Gildea ◽  
Paul Kingsbury

The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank. The resulting resource can be thought of as shallow, in that it does not represent coreference, quantification, and many other higher-order phenomena, but also broad, in that it covers every instance of every verb in the corpus and allows representative statistics to be calculated. We discuss the criteria used to define the sets of semantic roles used in the annotation process and to analyze the frequency of syntactic/semantic alternations in the corpus. We describe an automatic system for semantic role tagging trained on the corpus and discuss the effect on its performance of various types of information, including a comparison of full syntactic parsing with a flat representation and the contribution of the empty “trace” categories of the treebank.


2021 ◽  
Vol 20 (2) ◽  
pp. 237-251
Author(s):  
Mykhailo Roshko ◽  
Ihor Havrylo ◽  
Tetiana Slavych
Keyword(s):  

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