Linguistic vs Encyclopaedic Knowledge. Classification of MWEs from Wikipedia Articles

Z. Kancheva; I. Radev

doi:10.2478/cait-2020-0051

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Linguistic vs Encyclopaedic Knowledge. Classification of MWEs from Wikipedia Articles

Cybernetics and Information Technologies

Volume 20 (2020): Issue 4 (November 2020)

By: Z. Kancheva and I. Radev

Open Access

|Dec 2020

Abstract

This paper reports on the first steps in the creation of linked data through the mapping between the synsets of BTB-WordNet and the articles in Bulgarian Wikipedia. The task of expanding the BTB-WordNet with encyclopaedic knowledge is done by mapping its synsets to Wikipedia articles with many MWEs found in the articles and subjected to further analysis. We look for a way to filter the Wikipedia MWEs in the effort of selecting the ones most beneficial to the enrichment of BTB-WN.

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Articles in this issue

DOI: https://doi.org/10.2478/cait-2020-0051 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 125 - 140

Submitted on: Nov 2, 2020

Accepted on: Nov 9, 2020

Published on: Dec 10, 2020

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

MWEs,

Wordnet,

Wikipedia,

Semantic Mapping

Related subjects:

Computer sciences,

Information technology

© 2020 Z. Kancheva, I. Radev, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2020): Issue 4 (November 2020)