Logical-linguistic model for multilingual Open Information Extraction

Author:

Khairova Nina1ORCID,Mamyrbayev Orken2ORCID,Mukhsina Kuralay3ORCID,Kolesnyk Anastasiia1

Affiliation:

1. Department of Intelligent Computer Systems, National Technical University ”Kharkiv Polytechnic Institute”, Kharkiv, 61002, Ukraine

2. Institute of Information and Computational Technologies, Almaty, 050010, Republic of Kazakhstan

3. Department of Information Systems, Al-Farabi Kazakh National University, Almaty, Republic of Kazakhstan

Funder

Ministry of Education and Science of the Republic of Kazakhstan

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Reference22 articles.

1. Akbik, A. & Loser, A. (2012). KrakeN: N-ary facts in open information extraction. AKBC-WEKEX’12: Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (pp.52-66). Association for Computational Linguistics, Montréal, Canada.

2. Leveraging Linguistic Structure For Open Domain Information Extraction

3. Bondarenko, M. & Shabanov-Kushnarenko, J. (2007). The intelligence theory (pp. 576). Kharkiv: “SMIT”.

4. Open information extraction from the web

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1. Features of the Knowledge Base of the System of Automated Construction of Logic and Linguistic Models of Text Documents;Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì;2021-06-10

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