{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T16:09:09Z","timestamp":1787242149855,"version":"build-2736575974"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61751201"],"award-info":[{"award-number":["61751201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672162"],"award-info":[{"award-number":["61672162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["16JC1420401"],"award-info":[{"award-number":["16JC1420401"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["17JC1404100"],"award-info":[{"award-number":["17JC1404100"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2018SHZDZX01"],"award-info":[{"award-number":["2018SHZDZX01"]}]},{"name":"ZJLab"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/taslp.2019.2944078","type":"journal-article","created":{"date-parts":[[2019,11,11]],"date-time":"2019-11-11T18:32:25Z","timestamp":1573497145000},"page":"2213-2222","source":"Crossref","is-referenced-by-count":36,"title":["Low-Rank and Locality Constrained Self-Attention for Sequence Modeling"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8805-8789","authenticated-orcid":false,"given":"Qipeng","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7163-5247","authenticated-orcid":false,"given":"Xipeng","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4897-9209","authenticated-orcid":false,"given":"Xiangyang","family":"Xue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/579"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1053"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2022"},{"key":"ref32","article-title":"Learning natural language inference using bidirectional LSTM model and inner-attention","author":"liu","year":"0","journal-title":"Clin Orthopaed Rel Res"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1030"},{"key":"ref30","article-title":"Dynamic self-attention: Computing attention over words dynamically for sentence embedding","author":"yoon","year":"0","journal-title":"Clin Orthopaed Rel Res"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/604"},{"key":"ref36","first-page":"5094","article-title":"Learning to compose task-specific tree structures","author":"choi","year":"0","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5308"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1070"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1502134112"},{"key":"ref40","article-title":"Natural language inference over interaction space","author":"gong","year":"0","journal-title":"Clin Orthopaed Rel Res"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3115\/1654494.1654498"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"159","DOI":"10.17791\/jcs.2008.9.2.159","article-title":"Dependency distance as a metric of language comprehension difficulty","volume":"9","author":"liu","year":"2008","journal-title":"J Cogn Sci"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1475"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-2099"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2009.5394889"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25240"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1139"},{"key":"ref19","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Intl Conf on Learning Representations"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1180"},{"key":"ref4","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"0","journal-title":"Proc Conf North Amer Chapt Assoc Comput Linguist"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref3","article-title":"Improving language understanding by generative pre-training","author":"radford","year":"2018"},{"key":"ref6","author":"jurafsky","year":"2000","journal-title":"Speech & language processing"},{"key":"ref29","first-page":"5446","article-title":"Disan: Directional self-attention network for rnn\/cnn-free language understanding","author":"shen","year":"0","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref5","article-title":"Layer normalization","author":"ba","year":"0","journal-title":"Clin Orthopaed Rel Res"},{"key":"ref8","first-page":"65","article-title":"Empirical methods in information extraction","volume":"18","author":"cardie","year":"1997","journal-title":"AI Mag"},{"key":"ref7","article-title":"Introduction to linguistics for natural language processing","volume":"4","author":"briscoe","year":"2011","journal-title":"Comput Lab Cambridge Univ"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1285"},{"key":"ref9","first-page":"178","article-title":"Abstract meaning representation for sembanking","author":"banarescu","year":"0","journal-title":"Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse"},{"key":"ref1","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref20","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","author":"socher","year":"0","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1075"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1001"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref24","article-title":"A disciplined approach to neural network hyper-parameters: Part 1 - learning rate, batch size, momentum, and weight decay","author":"smith","year":"0","journal-title":"Clin Orthopaed Rel Res"},{"key":"ref41","first-page":"6297","article-title":"Learned in translation: Contextualized word vectors","author":"mccann","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1278"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1407"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1206"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/8817316\/08894858.pdf?arnumber=8894858","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T16:54:26Z","timestamp":1657731266000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8894858\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":43,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/taslp.2019.2944078","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12]]}}}