{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T04:38:56Z","timestamp":1729658336425,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8851951","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["A Crowdsourcing Based Human-in-the-Loop Framework for Denoising UUs in Relation Extraction Tasks"],"prefix":"10.1109","author":[{"given":"Mengting","family":"Li","sequence":"first","affiliation":[]},{"given":"Jian","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Wen","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Liang","family":"He","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Yang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1072"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1189"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2700832"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1104"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1187"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1046"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1199"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.12063","article-title":"Reinforcement learning for relation classification from noisy data","author":"feng","year":"2018","journal-title":"Proceedings of AAAI"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489631"},{"key":"ref19","first-page":"825","article-title":"Big data versus the crowd: Looking for relationships in all the right places","author":"zhang","year":"2012","journal-title":"Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics Long Papers-Volume 1"},{"key":"ref28","first-page":"1188","article-title":"Distributed representations of sentences and documents","author":"le","year":"2014","journal-title":"International Conference on Machine Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/1621474.1621502"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15939-8_10"},{"key":"ref6","first-page":"3060","article-title":"Distant supervision for relation extraction with sentence-level attention and entity descriptions","author":"ji","year":"2017","journal-title":"AAAI"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1203"},{"key":"ref8","first-page":"1201","article-title":"Semantic com-positionality through recursive matrix-vector spaces","author":"socher","year":"2012","journal-title":"Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1200"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1061"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1206"},{"key":"ref1","first-page":"2335","article-title":"Relation classification via convolutional deep neural network","author":"zeng","year":"2014","journal-title":"Proceedings of COLING 2014 the 25th International Conference on Computational Linguistics Technical Papers"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1164"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-006-0036-4"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-3758(00)00115-4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/1219044.1219066"},{"key":"ref23","first-page":"2","article-title":"Identifying unknown unknowns in the open world: Representations and policies for guided exploration","volume":"1","author":"lakkaraju","year":"2017","journal-title":"AAAI"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/1220835.1220872"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219893"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08851951.pdf?arnumber=8851951","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T16:29:56Z","timestamp":1664555396000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8851951\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8851951","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}