{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T04:59:52Z","timestamp":1746593992492},"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\/s17-1015","type":"proceedings-article","created":{"date-parts":[[2017,7,27]],"date-time":"2017-07-27T17:45:57Z","timestamp":1501177557000},"page":"121-127","source":"Crossref","is-referenced-by-count":11,"title":["A Mixture Model for Learning Multi-Sense Word Embeddings"],"prefix":"10.18653","author":[{"given":"Dai Quoc","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Dat Quoc","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Ashutosh","family":"Modi","sequence":"additional","affiliation":[]},{"given":"Stefan","family":"Thater","sequence":"additional","affiliation":[]},{"given":"Manfred","family":"Pinkal","sequence":"additional","affiliation":[]}],"member":"1643","event":{"name":"Proceedings of the 6th Joint Conference on Lexical and Computational\n          Semantics (*SEM 2017)","start":{"date-parts":[[2017,8]]},"location":"Vancouver, Canada","end":{"date-parts":[[2017,8]]}},"container-title":["Proceedings of the 6th Joint Conference on Lexical and Computational\n          Semantics (*SEM 2017)"],"original-title":[],"deposited":{"date-parts":[[2018,1,30]],"date-time":"2018-01-30T08:52:32Z","timestamp":1517302352000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.aclweb.org\/anthology\/S17-1015"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.18653\/v1\/s17-1015","relation":{},"subject":[],"published":{"date-parts":[[2017]]}}}