{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T16:15:33Z","timestamp":1768320933377,"version":"3.49.0"},"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\/d17-1030","type":"proceedings-article","created":{"date-parts":[[2018,1,18]],"date-time":"2018-01-18T16:54:31Z","timestamp":1516294471000},"page":"304-309","source":"Crossref","is-referenced-by-count":29,"title":["High-risk learning: acquiring new word vectors from tiny data"],"prefix":"10.18653","author":[{"given":"Aur\u00e9lie","family":"Herbelot","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Baroni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"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":"2018-01-18T16:54:39Z","timestamp":1516294479000},"score":1,"resource":{"primary":{"URL":"http:\/\/aclweb.org\/anthology\/D17-1030"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.18653\/v1\/d17-1030","relation":{},"subject":[],"published":{"date-parts":[[2017]]}}}