A. O. Shelmanov, J. M. Kuznetsova, V. A. Isakov, I. V. Smirnov, “Open information extraction from texts. Part II. Extraction of semantic relations using unsupervised machine learning”, Artificial Intelligence and Decision Making, 2019, no. 2, 39–49; Scientific and Technical Information Processing, 47:6 (2020), 340

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Artificial Intelligence and Decision Making

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Artificial Intelligence and Decision Making, 2019, Issue 2, Pages 39–49
DOI: https://doi.org/10.14357/20718594190204 (Mi iipr168)

This article is cited in 5 scientific papers (total in 5 papers)

Natural language processing

Open information extraction from texts. Part II. Extraction of semantic relations using unsupervised machine learning

A. O. Shelmanov, J. M. Kuznetsova, V. A. Isakov, I. V. Smirnov

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia

Full-text PDF (674 kB) Citations (5)

DOI: https://doi.org/10.14357/20718594190204

Abstract: In this paper, we discuss open information extraction from natural language texts. We present the approach to extraction of semantic relations using unsupervised machine learning. The presented approach is based on deep clustering methods in which clusterization algorithm is integrated in multi-layer autoencoder neural network. This method allows to generalize surface relations (triplets) into semantic relations. This paper also provides the method of surface relation extraction.

Keywords: open information extraction, semantic relations, unsupervised machine learning, neural networks, autoencoder.

Funding agency	Grant number
Russian Foundation for Basic Research	17-07-01477 А 16-29-12937 офи_м

English version:
Scientific and Technical Information Processing, 2020, Volume 47, Issue 6, Pages 340–347
DOI: https://doi.org/10.3103/S0147688220060076

Bibliographic databases:

Document Type: Article

Language: Russian

Citation: A. O. Shelmanov, J. M. Kuznetsova, V. A. Isakov, I. V. Smirnov, “Open information extraction from texts. Part II. Extraction of semantic relations using unsupervised machine learning”, Artificial Intelligence and Decision Making, 2019, no. 2, 39–49; Scientific and Technical Information Processing, 47:6 (2020), 340–347

Citation in format AMSBIB

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\by A.~O.~Shelmanov, J.~M.~Kuznetsova, V.~A.~Isakov, I.~V.~Smirnov

\paper Open information extraction from texts. Part II. Extraction of semantic relations using unsupervised machine learning

\jour Artificial Intelligence and Decision Making

\yr 2019

\issue 2

\pages 39--49

\mathnet{http://mi.mathnet.ru/iipr168}

\crossref{https://doi.org/10.14357/20718594190204}

\elib{https://elibrary.ru/item.asp?id=38303574}

\transl

\jour Scientific and Technical Information Processing

\yr 2020

\vol 47

\issue 6

\pages 340--347

\crossref{https://doi.org/10.3103/S0147688220060076}

Linking options:

https://www.mathnet.ru/eng/iipr168

https://www.mathnet.ru/eng/iipr/y2019/i2/p39

Cycle of papers

Open information extraction. Part I. The task and the review of the state of the art
A. O. Shelmanov, V. A. Isakov, M. A. Stankevich, I. V. Smirnov
Artificial Intelligence and Decision Making, 2018:2, 47–61
Open information extraction from texts. Part II. Extraction of semantic relations using unsupervised machine learning
A. O. Shelmanov, J. M. Kuznetsova, V. A. Isakov, I. V. Smirnov
Artificial Intelligence and Decision Making, 2019:2, 39–49
Open information extraction from texts. Part III. Question answering system
E. V. Chistova, D. S. Larionov, E. A. Latypova, A. O. Shelmanov, I. V. Smirnov
Artificial Intelligence and Decision Making, 2021:4, 35–49

This publication is cited in the following 5 articles:

I. V. Smirnov, “Multilevel Natural Language Processing for Intelligent Information Retrieval and Text Mining”, Sci. Tech. Inf. Proc., 51:6 (2024), 629
Mohd Hafizul Afifi Abdullah, Norshakirah Aziz, Said Jadid Abdulkadir, Hitham Seddig Alhassan Alhussian, Noureen Talpur, “Systematic Literature Review of Information Extraction From Textual Data: Recent Methods, Applications, Trends, and Challenges”, IEEE Access, 11 (2023), 10535
Guodong Shen, Zhu Liang, Rui Yuan, 2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST), 2023, 523
Deping Chu, Bo Wan, Hong Li, Shuai Dong, Jinming Fu, Yiyang Liu, Kuan Huang, Hui Liu, “A machine learning approach to extracting spatial information from geological texts in Chinese”, International Journal of Geographical Information Science, 36:11 (2022), 2169
Jian Lan, Wei Liu, YangYang Hu, JunJie Zhang, 2021 4th International Conference on Robotics, Control and Automation Engineering (RCAE), 2021, 201

Citing articles in Google Scholar: Russian citations, English citations
Related articles in Google Scholar: Russian articles, English articles

Artificial Intelligence and Decision Making

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