A new representation of open information extraction in Persian language
Open information extraction is a new technology in the text mining process which is still at the beginning and requires many attempts and considerations for improvement. These attempts includes both the representation and extraction of information. The complication and instability of language intensify the problems of the open information extraction. In this article an advanced representation of information is presented for the Persian language; a representation which can be a favorable cover for the open information extraction by identifying dependency analysis relationships. In the present article, it is tried to reach the feasibility of this representation, the representation correspondence using syntactic labeling, and plausible representation of information extraction. By making this attempts, the threshold for the information extraction goes far beyond its simple  epresentation state, which is a tripple. Although this article tries to overally outline the approach of using an advanced representation of information extraction, it specifically investigates the use of this representation in QA systems.
Article Type:
Research/Original Article
International Journal Of Nonlinear Analysis And Applications, Volume:10 Issue:2, 2019
189 - 196
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