{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:00:50Z","timestamp":1772773250499,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>A semi-supervised approach was introduced to develop a semantic search system, capable of finding legal cases whose fact-asserting sentences are similar to a given query, in a large legal corpus. First, an unsupervised word embedding model learns the meaning of legal words from a large immigration law corpus. Then this knowledge is used to initiate the training of a fact detecting classifier with a small set of annotated legal cases. We achieved 90% accuracy in detecting fact sentences, where only 150 annotated documents were available. The hidden layer of the trained classifier is used to vectorize sentences and calculate cosine similarity between fact-asserting sentences and the given queries. We reached 78% mean average precision score in searching semantically similar sentences.<\/jats:p>","DOI":"10.3233\/978-1-61499-838-9-125","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:27:05Z","timestamp":1740115625000},"source":"Crossref","is-referenced-by-count":3,"title":["A Semi-Supervised Training Method for Semantic Search of Legal Facts in Canadian Immigration Cases"],"prefix":"10.3233","author":[{"family":"Nejadgholi Isar","sequence":"additional","affiliation":[]},{"family":"Bougueng Renaud","sequence":"additional","affiliation":[]},{"family":"Witherspoon Samuel","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T06:05:44Z","timestamp":1740117944000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-837-2&spage=125&doi=10.3233\/978-1-61499-838-9-125"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-838-9-125","relation":{"is-cited-by":[{"id-type":"doi","id":"10.1007\/978-981-13-6095-4_4","asserted-by":"object"},{"id-type":"doi","id":"10.1007\/978-3-030-91699-2_38","asserted-by":"object"}]},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}