{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T18:47:05Z","timestamp":1774291625731,"version":"3.50.1"},"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":[[2018]]},"DOI":"10.18653\/v1\/w18-5523","type":"proceedings-article","created":{"date-parts":[[2019,6,29]],"date-time":"2019-06-29T19:09:10Z","timestamp":1561835350000},"page":"138-144","source":"Crossref","is-referenced-by-count":4,"title":["An End-to-End Multi-task Learning Model for Fact Checking"],"prefix":"10.18653","author":[{"given":"Sizhen","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuai","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1643","event":{"name":"Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)","location":"Brussels, Belgium","start":{"date-parts":[[2018,11]]},"end":{"date-parts":[[2018,11]]}},"container-title":["Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)"],"original-title":[],"deposited":{"date-parts":[[2019,6,29]],"date-time":"2019-06-29T19:09:17Z","timestamp":1561835357000},"score":1,"resource":{"primary":{"URL":"http:\/\/aclweb.org\/anthology\/W18-5523"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.18653\/v1\/w18-5523","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}