{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T02:15:35Z","timestamp":1777860935113,"version":"3.51.4"},"reference-count":0,"publisher":"State University of Malang (UM)","issue":"2","license":[{"start":{"date-parts":[[2022,12,30]],"date-time":"2022-12-30T00:00:00Z","timestamp":1672358400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-sa\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowl. Eng. Data Sci."],"abstract":"<jats:p>The rapidly expanding size of data makes it difficult to extricate information and store it as computerized knowledge. Relation extraction and term extraction play a crucial role in resolving this issue. Automatically finding a concealed relationship between terms that appear in the text can help people build computer-based knowledge more quickly. Term extraction is required as one of the components because identifying terms that play a significant role in the text is the essential step before determining their relationship. We propose an end-to-end system capable of extracting terms from text to address this Indonesian language issue. Our method combines two multilayer perceptron neural networks to perform Part-of-Speech (PoS) labeling and Noun Phrase Chunking. Our models were trained as a joint model to solve this problem. Our proposed method, with an f-score of 86.80%, can be considered a state-of-the-art algorithm for performing term extraction in the Indonesian Language using noun phrase chunking.<\/jats:p>","DOI":"10.17977\/um018v5i22022p160-167","type":"journal-article","created":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T20:44:11Z","timestamp":1685393051000},"page":"160","source":"Crossref","is-referenced-by-count":0,"title":["Indonesian Language Term Extraction using Multi-Task Neural Network"],"prefix":"10.17977","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4922-182X","authenticated-orcid":false,"given":"Joan","family":"Santoso","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Esther Irawati","family":"Setiawan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fransiskus Xaverius","family":"Ferdinandus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gunawan","family":"Gunawan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonel","family":"Hernandez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7463","published-online":{"date-parts":[[2022,12,30]]},"container-title":["Knowledge Engineering and Data Science"],"original-title":[],"link":[{"URL":"http:\/\/journal2.um.ac.id\/index.php\/keds\/article\/viewFile\/37365\/11402","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journal2.um.ac.id\/index.php\/keds\/article\/viewFile\/37365\/11402","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T02:28:47Z","timestamp":1777516127000},"score":1,"resource":{"primary":{"URL":"https:\/\/citeus.um.ac.id\/keds\/vol5\/iss2\/7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,30]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,12,30]]}},"URL":"https:\/\/doi.org\/10.17977\/um018v5i22022p160-167","relation":{},"ISSN":["2597-4602","2597-4637"],"issn-type":[{"value":"2597-4602","type":"print"},{"value":"2597-4637","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,30]]}}}