{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,11,22]],"date-time":"2023-11-22T10:31:38Z","timestamp":1700649098772},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[1999,6,1]],"date-time":"1999-06-01T00:00:00Z","timestamp":928195200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nat. Lang. Eng."],"published-print":{"date-parts":[[1999,6]]},"abstract":"<jats:p>Many applications need a lexicon that represents semantic information but acquiring lexical \ninformation is time consuming. We present a corpus-based bootstrapping algorithm that \nassists users in creating domain-specific semantic lexicons quickly. Our algorithm uses a \nrepresentative text corpus for the domain and a small set of \u2018seed words\u2019 that belong to \na semantic class of interest. The algorithm hypothesizes new words that are also likely to \nbelong to the semantic class because they occur in the same contexts as the seed words. The \nbest hypotheses are added to the seed word list dynamically, and the process iterates in a \nbootstrapping fashion. When the bootstrapping process halts, a ranked list of hypothesized \ncategory words is presented to a user for review. We used this algorithm to generate a semantic \nlexicon for eleven semantic classes associated with the MUC-4 terrorism domain.<\/jats:p>","DOI":"10.1017\/s1351324999002235","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T13:30:22Z","timestamp":1027776622000},"page":"147-156","source":"Crossref","is-referenced-by-count":14,"title":["A corpus-based bootstrapping algorithm for Semi-Automated semantic lexicon construction"],"prefix":"10.1017","volume":"5","author":[{"given":"ELLEN","family":"RILOFF","sequence":"first","affiliation":[]},{"given":"JESSICA","family":"SHEPHERD","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[1999,6,1]]},"container-title":["Natural Language Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S1351324999002235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T19:17:26Z","timestamp":1553887046000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S1351324999002235\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,6]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[1999,6]]}},"alternative-id":["S1351324999002235"],"URL":"https:\/\/doi.org\/10.1017\/s1351324999002235","relation":{},"ISSN":["1351-3249","1469-8110"],"issn-type":[{"value":"1351-3249","type":"print"},{"value":"1469-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[1999,6]]}}}