{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T20:03:32Z","timestamp":1774037012277,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643681160","type":"print"},{"value":"9781643681177","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T00:00:00Z","timestamp":1600128000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,15]]},"abstract":"<jats:p>The 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.<\/jats:p>","DOI":"10.3233\/faia200600","type":"book-chapter","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T11:54:23Z","timestamp":1600775663000},"source":"Crossref","is-referenced-by-count":3,"title":["Automatic Extraction of Lithuanian Cybersecurity Terms Using Deep Learning Approaches"],"prefix":"10.3233","author":[{"given":"Aivaras","family":"Rokas","sequence":"first","affiliation":[{"name":"Vytautas Magnus University, Lithuania"}]},{"given":"Sigita","family":"Rackevi\u010dien\u0117","sequence":"additional","affiliation":[{"name":"Mykolas Romeris University, Lithuania"}]},{"given":"Andrius","family":"Utka","sequence":"additional","affiliation":[{"name":"Vytautas Magnus University, Lithuania"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Human Language Technologies \u2013 The Baltic Perspective"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA200600","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T11:54:24Z","timestamp":1600775664000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA200600"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,15]]},"ISBN":["9781643681160","9781643681177"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia200600","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,15]]}}}