{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T10:11:23Z","timestamp":1730283083660,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"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":[[2021,10,25]]},"DOI":"10.1109\/mlsp52302.2021.9596474","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T22:53:58Z","timestamp":1637016838000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Opinion Recommendation Using Coverage for Adaptive Prediction"],"prefix":"10.1109","author":[{"given":"Emmanouil","family":"Gionanidis","sequence":"first","affiliation":[{"name":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,GREECE,54124"}]},{"given":"Constantine","family":"Kotropoulos","sequence":"additional","affiliation":[{"name":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,GREECE,54124"}]},{"given":"Myrsini","family":"Ntemi","sequence":"additional","affiliation":[{"name":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,GREECE,54124"}]}],"member":"263","reference":[{"key":"ref10","first-page":"2342","article-title":"An empirical exploration of recurrent network architectures","author":"jozefowicz","year":"2015","journal-title":"Proc Int Conf Machine Learning"},{"key":"ref11","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2015","journal-title":"Proc 3rd Int Conf Learning Representations"},{"key":"ref12","first-page":"1378","article-title":"Ask me anything: Dynamic memory networks for natural language processing","author":"kumar","year":"2016","journal-title":"Proc Int Conf Machine Learning"},{"key":"ref13","first-page":"2440","article-title":"End-to-end memory networks","author":"sukhbaatar","year":"2015","journal-title":"Adv Neural Information Processing Systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1008"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1099"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3_1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1644873.1644874"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150420"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1171"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"J Nature"},{"key":"ref5","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"collobert","year":"2011","journal-title":"J Machine Learning Research"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"hochreiter","year":"1997","journal-title":"J Neural Computation"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1170"},{"key":"ref9","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","author":"pascanu","year":"2013","journal-title":"Proc Int Conf Machine Learning"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"ref20","first-page":"340","article-title":"Opinosis: A graph based approach to abstractive summarization of highly redundant opinions","author":"ganesan","year":"2010","journal-title":"Proc 23rd Int Conf Computational Linguistics"},{"key":"ref22","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Adv Neural Information Processing Systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1044"},{"key":"ref24","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc 3rd Int Conf Learning Representations"},{"key":"ref23","article-title":"A neural attention model for sentence summarization","author":"rush","year":"2017","journal-title":"Proc Conf Empirical Methods in Natural Language Processing"},{"journal-title":"Probability & Statistics","year":"1990","author":"papoulis","key":"ref25"}],"event":{"name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2021,10,25]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2021,10,28]]}},"container-title":["2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9596063\/9596068\/09596474.pdf?arnumber=9596474","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:30:10Z","timestamp":1659483010000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9596474\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,25]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/mlsp52302.2021.9596474","relation":{},"subject":[],"published":{"date-parts":[[2021,10,25]]}}}