{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T10:14:52Z","timestamp":1654596892962},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"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":[[2022,6,6]]},"abstract":"<jats:p>As Named Entity Recognition (NER) has been essential in identifying critical elements of unstructured content, generic NER tools remain limited in recognizing entities specific to a domain, such as drug use and public health. For such high-impact areas, accurately capturing relevant entities at a more granular level is critical, as this information influences real-world processes. On the other hand, training NER models for a specific domain without handcrafted features requires an extensive amount of labeled data, which is expensive in human effort and time. In this study, we employ distant supervision utilizing a domain-specific ontology to reduce the need for human labor and train models incorporating domain-specific (e.g., drug use) external knowledge to recognize domain specific entities. We capture entities related the drug use and their trends in government epidemiology reports, with an improvement of 8% in F1-score.<\/jats:p>","DOI":"10.3233\/shti220048","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:30:40Z","timestamp":1654594240000},"source":"Crossref","is-referenced-by-count":0,"title":["Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision"],"prefix":"10.3233","author":[{"given":"Goonmeet","family":"Bajaj","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ugur","family":"Kursuncu","sequence":"additional","affiliation":[{"name":"Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, Ohio, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manas","family":"Gaur","sequence":"additional","affiliation":[{"name":"Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, Ohio, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Usha","family":"Lokala","sequence":"additional","affiliation":[{"name":"Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, Ohio, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayaz","family":"Hyder","sequence":"additional","affiliation":[{"name":"AI Institute, University of South Carolina, Columbia, City Two, South Carolina, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srinivasan","family":"Parthasarathy","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amit","family":"Sheth","sequence":"additional","affiliation":[{"name":"Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, Ohio, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:30:40Z","timestamp":1654594240000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220048"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220048","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}