International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

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 Volume 7, Issue 10 (October 2020), Pages: 1-11

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 Original Research Paper

 Title: Markov logic for statistical relation extraction

 Author(s): M. D. S. Seneviratne 1, *, K. S. D. Fernando 2, D. D. Karunaratne 1

 Affiliation(s):

 1University of Colombo School of Computing, Colombo, Sri Lanka
 2Faculty of Information Technology, University of Moratuwa, Moratuwa, Sri Lanka

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-3362-8550

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2020.10.001

 Abstract:

In today’s world, the Internet has become a fast and efficient information provider, although the relevancy or accuracy of the information found is not guaranteed. The web itself presents numerous problems in finding a required piece of information, mainly due to its heterogeneous nature. Therefore, extracting information from the web is still a challenging task despite the fact that numerous work has been cited in the literature. Extracting information in the form of entities and relations has been addressed by various techniques such as machine learning, natural language processing, and statistical methods, etc. In this paper, we present a rule-based method which is hybridized by machine learning and statistical techniques for accurate performance in domain-specific relation extraction. The rules are modeled in Markov Logic Network to enable statistical performance. Our results on two test domains show overall high values in precision. 

 © 2020 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Entity, Relation, Relation extraction, Language dependencies, Markov logic network

 Article History: Received 15 February 2020, Received in revised form 7 June 2020, Accepted 8 June 2020

 Acknowledgment:

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The authors declare that they have no conflict of interest.

 Citation:

 Seneviratne MDS, Fernando KSD, and Karunaratne DD (2020). Markov logic for statistical relation extraction. International Journal of Advanced and Applied Sciences, 7(10): 1-11

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6

 Tables

 Table 1 Table 2 Table 3 Table 4

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