Extracting Generalized Semantic Roles from Corpus
One of the oldest constructs of linguistic theory is semantic role. Automatic extraction of semantic roles in a sentence is a movement towards semantic processing of texts which has been the focus of attention in recent years. Extraction of semantic roles from a text contains some essential parts. Recognition of verb(s) of the sentence, recognition of noun phrases and their heads, and labeling the role of each phrase in the sentence as a semantic argument of verb are general parts of a system that does this task. There is a wide variety of definitions for semantic roles from verb specific roles to some general roles known as thematic roles, This paper focuses on a generalization of thematic roles called proto-roles or generalized semantic roles which includes two roles; actor and undergoer. In this paper we extract proto-roles in a Persian sentence exploiting POS tags. We use Peykareh as our input corpus and apply a rule based approach to extract actor and undergoer of verb(s).
Keywords: natural language processing, semantic role labeling, , predicate-argument extraction, proto-roles extraction
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ABOUT THE AUTHORS
Fateme Jafarinejad
Fateme Jafarinejad is currently pursuing the MS degree at faculty of Computer Engineering in Shahid Beheshti university. Her research interests are in the fields of natural language processing and semantic role labeling.
Mehrnoush Shamsfard
Mehrnoush Shamsfard has obtained her PHD in artificial intelligence from AmirKabir University of Technology. She is currently with the faculty of Computer Engineering in Shahid Beheshti university. Her main fields of interest are natural language processing with a special focus on semantics, ontology engineering, knowledge extraction and semantic web.
Fateme Jafarinejad
Fateme Jafarinejad is currently pursuing the MS degree at faculty of Computer Engineering in Shahid Beheshti university. Her research interests are in the fields of natural language processing and semantic role labeling.
Mehrnoush Shamsfard
Mehrnoush Shamsfard has obtained her PHD in artificial intelligence from AmirKabir University of Technology. She is currently with the faculty of Computer Engineering in Shahid Beheshti university. Her main fields of interest are natural language processing with a special focus on semantics, ontology engineering, knowledge extraction and semantic web.
