{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T09:29:40Z","timestamp":1748338180463},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"4","license":[{"start":{"date-parts":[[1999,12,1]],"date-time":"1999-12-01T00:00:00Z","timestamp":944006400000},"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":[[1999,12]]},"abstract":"<jats:p>We show how the DOP model can be used for fast and robust context-sensitive processing of \nspoken input in a practical spoken dialogue system called OVIS. OVIS (Openbaar Vervoer \nInformatie Systeem) \u2013 \u2018Public Transport Information System\u2019, is a Dutch spoken language \ninformation system which operates over ordinary telephone lines. The prototype system is \nthe immediate goal of the NWO Priority Programme \u2018Language and Speech Technology\u2019. In \nthis paper, we extend the original Data-Oriented Parsing (DOP) model to context-sensitive \ninterpretation of spoken input. The system we describe uses the OVIS corpus (which consists \nof 10,000 trees enriched with compositional semantics) to compute from an input word-graph the best utterance together with its meaning. Dialogue context is taken into account \nby dividing up the OVIS corpus into context-dependent subcorpora. Each system question \ntriggers a subcorpus by which the user answer is analysed and interpreted. Our experiments \nindicate that the context-sensitive DOP model obtains better accuracy than the original \nmodel, allowing for fast and robust processing of spoken input.<\/jats:p>","DOI":"10.1017\/s1351324900002291","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T13:30:22Z","timestamp":1027776622000},"page":"309-323","source":"Crossref","is-referenced-by-count":7,"title":["Context-sensitive spoken dialogue processing with the DOP model"],"prefix":"10.1017","volume":"5","author":[{"given":"RENS","family":"BOD","sequence":"first","affiliation":[]}],"member":"56","published-online":{"date-parts":[[1999,12,1]]},"container-title":["Natural Language Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S1351324900002291","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,9]],"date-time":"2019-05-09T19:41:06Z","timestamp":1557430866000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S1351324900002291\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,12]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[1999,12]]}},"alternative-id":["S1351324900002291"],"URL":"https:\/\/doi.org\/10.1017\/s1351324900002291","relation":{},"ISSN":["1351-3249","1469-8110"],"issn-type":[{"value":"1351-3249","type":"print"},{"value":"1469-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[1999,12]]}}}