Extracting Academic Subjects Semantic Relations Using Collocations

Stoykova, Velislava (2017) Extracting Academic Subjects Semantic Relations Using Collocations. EAI Endorsed Transactions on Energy Web, 4 (14): e3. ISSN 2032-944X

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Abstract

The paper presents approach to analyze semantic content of academic subjects and its internal relations using statistically-based techniques for collocation extraction from large electronic educational text corpus. It offers a survey and analysis of some related corpus-based approaches to extract conceptual relations used for educational purpose and presents a technique for semantic search of collocations. The results of extended keyword search from British Academic Spoken English corpus using Sketch Engine searching software are presented. They are analysed with respect to types of generated keyword’s collocations and semantic relations which they assign.

Item Type: Article
Uncontrolled Keywords: Data mining, Big data, Knowledge discovery
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 24 Sep 2020 11:40
Last Modified: 24 Sep 2020 11:40
URI: https://eprints.eudl.eu/id/eprint/611

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