{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T21:17:09Z","timestamp":1785273429856,"version":"3.55.0"},"publisher-location":"Stroudsburg, PA, USA","reference-count":0,"publisher":"Association for Computational Linguistics","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.18653\/v1\/d17-1063","type":"proceedings-article","created":{"date-parts":[[2018,1,18]],"date-time":"2018-01-18T16:54:31Z","timestamp":1516294471000},"page":"595-605","source":"Crossref","is-referenced-by-count":145,"title":["Learning how to Active Learn: A Deep Reinforcement Learning Approach"],"prefix":"10.18653","author":[{"given":"Meng","family":"Fang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Trevor","family":"Cohn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1643","event":{"name":"Proceedings of the 2017 Conference on Empirical Methods in Natural\n          Language Processing","location":"Copenhagen, Denmark","start":{"date-parts":[[2017,9]]},"end":{"date-parts":[[2017,9]]}},"container-title":["Proceedings of the 2017 Conference on Empirical Methods in Natural\n          Language Processing"],"original-title":[],"deposited":{"date-parts":[[2018,1,18]],"date-time":"2018-01-18T16:54:48Z","timestamp":1516294488000},"score":1,"resource":{"primary":{"URL":"http:\/\/aclweb.org\/anthology\/D17-1063"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.18653\/v1\/d17-1063","relation":{},"subject":[],"published":{"date-parts":[[2017]]}}}