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Nematollahi, Mohammad Mahdi, Marouzi, Omid Reza. (1398). A new representation of open information extraction in Persian language. هنرهای کاربردی, 10(2), 189-196. doi: 10.22075/IJNAA.2019.4185
Mohammad Mahdi Nematollahi; Omid Reza Marouzi. "A new representation of open information extraction in Persian language". هنرهای کاربردی, 10, 2, 1398, 189-196. doi: 10.22075/IJNAA.2019.4185
Nematollahi, Mohammad Mahdi, Marouzi, Omid Reza. (1398). 'A new representation of open information extraction in Persian language', هنرهای کاربردی, 10(2), pp. 189-196. doi: 10.22075/IJNAA.2019.4185
Nematollahi, Mohammad Mahdi, Marouzi, Omid Reza. A new representation of open information extraction in Persian language. هنرهای کاربردی, 1398; 10(2): 189-196. doi: 10.22075/IJNAA.2019.4185

A new representation of open information extraction in Persian language

International Journal of Nonlinear Analysis and Applications
مقاله 47، دوره 10، شماره 2، اسفند 2019، صفحه 189-196    اصل مقاله (223.27 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/IJNAA.2019.4185
نویسندگان
Mohammad Mahdi Nematollahi* 1؛ Omid Reza Marouzi2
1Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
2Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran
تاریخ دریافت: 18 خرداد 1397،  تاریخ بازنگری: 22 تیر 1398،  تاریخ پذیرش: 27 مرداد 1398 
چکیده
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.
کلیدواژه‌ها
Open Information Extraction؛ Representation of Information؛ Syntactic Labeling؛ Question and Answer Systems
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