{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:18:11Z","timestamp":1740169091728,"version":"3.37.3"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61372115"],"award-info":[{"award-number":["61372115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2018YFB1003804","2017YFB1400603"],"award-info":[{"award-number":["2018YFB1003804","2017YFB1400603"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2904337","type":"journal-article","created":{"date-parts":[[2019,3,11]],"date-time":"2019-03-11T14:37:58Z","timestamp":1552315078000},"page":"61008-61017","source":"Crossref","is-referenced-by-count":10,"title":["Natural Answer Generation With Attention Over Instances"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3588-0880","authenticated-orcid":false,"given":"Mengxi","family":"Wei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3115\/1218955.1219032"},{"key":"ref38","first-page":"311","article-title":"BLEU: A method for automatic evaluation of machine translation","author":"papineni","year":"2002","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref33","first-page":"473","article-title":"LSTM can solve hard long time lag problems","volume":"9","author":"hochreiter","year":"1996","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref32","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1044"},{"key":"ref30","first-page":"577","article-title":"Attention-based models for speech recognition","author":"chorowski","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst Annu Conf Neural Inf Process Syst"},{"journal-title":"Google’s neural machine translation system Bridging the gap between human and machine translation","year":"2016","author":"wu","key":"ref37"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1036"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1008"},{"key":"ref34","article-title":"Empirical evaluation of gated recurrent neural networks on sequence","volume":"1412 3555","author":"chung","year":"2014","journal-title":"CoRR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1154"},{"key":"ref40","first-page":"451","article-title":"A multi-task learning approach for improving product title compression with User Search Log Data","author":"wang","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell (AAAI) 30th Innov Appl Artif Intell (IAAI) 8th AAAI Symp Educ Adv Artif Intell (EAAI)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1200"},{"key":"ref12","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst Annu Conf Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.12.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1008992.1009101"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220542"},{"key":"ref16","first-page":"26","article-title":"Finding distinct answers in Web snippets","volume":"2","author":"figueroa","year":"2008","journal-title":"Proc Int Conf Web Inf Syst Technol (WEBIST)"},{"key":"ref17","first-page":"61","article-title":"Mining Web snippets to answer list questions","author":"figueroa","year":"2007","journal-title":"Proc 2nd Int Workshop Integr Artif Intell Data Mining"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SKG.2008.31"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01344-7_13"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/587"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10587-1_2"},{"journal-title":"Yahoo! Webscope datasets","year":"2006","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAAI.2017.18"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-0106"},{"key":"ref29","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)ICLR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1019"},{"journal-title":"Multi-instance learning for end-to-end knowledge base question answering","year":"2019","author":"wei","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.14778\/3055540.3055549"},{"key":"ref9","article-title":"Sequence to sequence learning with neural networks","volume":"abs 1409 3215","author":"sutskever","year":"2014","journal-title":"CoRR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v31i3.2303"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2934687"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835518"},{"key":"ref21","article-title":"A survey of community question answering","volume":"abs 1705 4009","author":"patra","year":"2017","journal-title":"CoRR"},{"key":"ref24","first-page":"719","article-title":"Learning to rank answers on large online QA collections","author":"surdeanu","year":"2008","journal-title":"Proc Ann Meeting on Assoc for Computational Linguistics (ACL)"},{"key":"ref23","first-page":"3000","article-title":"Expert finding for community-based question answering via ranking metric network learning","author":"zhao","year":"2016","journal-title":"Proc Intern Joint Conf Artificial Intel (IJCAI)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.11.002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3115\/1599081.1599144"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08664579.pdf?arnumber=8664579","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:54:51Z","timestamp":1641988491000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8664579\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2904337","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}