Automatic extraction of Lithuanian cybersecurity terms using deep learning approaches

Collection:
Mokslo publikacijos / Scientific publications
Document Type:
Knygos dalis / Part of the book
Language:
Anglų kalba / English
Title:
Automatic extraction of Lithuanian cybersecurity terms using deep learning approaches
Summary / Abstract:

ENThe paper presents the results of research on deep learning methods aiming to determine the most effective one for automatic extraction of Lithuanian terms from a specialized domain (cybersecurity) with very restricted resources. A semi-supervised approach to deep learning was chosen for the research as Lithuanian is a less resourced language and large amounts of data, necessary for unsupervised methods, are not available in the selected domain. The findings of the research show that Bi-LSTM network with Bidirectional Encoder Representations from Transformers (BERT) can achieve close to state-of-the-art results. Keywords. Cybersecurity, terminology, automatic term extraction, deep learning, neural networks, embeddings. [From the publication]

DOI:
10.3233/FAIA200600
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Permalink:
https://www.lituanistika.lt/content/102054
Updated:
2023-07-25 20:01:31
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