Abstract
With the proliferation of textual data accessible in the internet, researchers have focused on shifting Open Information Extraction (Open IE) paradigm to non-English languages. The process of adapting an Open IE system from English to Persian is challenging since two languages have fundamental differences in syntax and dependency representation trees. To the best of our knowledge, this article is the first published paper about Open IE for Persian. Many traditional systems apply a large set of lexical patterns which is inefficient in out-of-domain text. We replace this large pattern set with a few syntactic rules defined upon dependency parse of a sentence that are specifically designed for Persian. We also addressed some Persian-specific phenomena to enhance the results. The recursive nature of the algorithm enabled us to handle nested sentences. Our experiments showed that the proposed system achieves decent performance compared to the state of the art systems in English.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Computer Applications in Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
