{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T06:01:09Z","timestamp":1670652069849},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683645","type":"print"},{"value":"9781643683652","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:00:00Z","timestamp":1670198400000},"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":[[2022,12,5]]},"abstract":"<jats:p>We study the problem of machine comprehension of court judgments and generation of descriptive tags for judgments. Our approach makes use of a legal taxonomy D, which serves as a dictionary of canonicalized legal concepts. Given a court judgment J, our method identifies the key contents of J and then applies Word2Vec and BERT-based models to select a short list TJ of terms\/phrases from the taxonomy D as descriptive tags of J. The tag set TJ suggests concepts that are relevant to or associative with J and provides a simple mechanism for readers of J to compose associative queries for effective judgment recommendation. Our prototype system implemented on the Hong Kong Legal Information Institute (HKLII) platform shows that our method provides a highly effective tool that assists users in exploring a judgment corpus and in obtaining relevant judgment recommendation.<\/jats:p>","DOI":"10.3233\/faia220476","type":"book-chapter","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T11:51:48Z","timestamp":1670586708000},"source":"Crossref","is-referenced-by-count":0,"title":["Judgment Tagging and Recommendation Using Pre-Trained Language Models and Legal Taxonomy"],"prefix":"10.3233","author":[{"given":"Tien-Hsuan","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Computer Science, The University of Hong Kong"}]},{"given":"Ben","family":"Kao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, The University of Hong Kong"}]},{"given":"Henry","family":"Chan","sequence":"additional","affiliation":[{"name":"Faculty of Law, The University of Hong Kong"}]},{"given":"Michael","family":"Mk Cheung","sequence":"additional","affiliation":[{"name":"Faculty of Law, The University of Hong Kong"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220476","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T11:51:48Z","timestamp":1670586708000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220476"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,5]]},"ISBN":["9781643683645","9781643683652"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220476","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,5]]}}}