{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:14:07Z","timestamp":1740100447014,"version":"3.37.3"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T00:00:00Z","timestamp":1637107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T00:00:00Z","timestamp":1637107200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T00:00:00Z","timestamp":1637107200000},"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":["61702047"],"award-info":[{"award-number":["61702047"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,17]]},"DOI":"10.1109\/ic-nidc54101.2021.9660484","type":"proceedings-article","created":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T20:36:16Z","timestamp":1641328576000},"page":"319-323","source":"Crossref","is-referenced-by-count":0,"title":["Domain Adaptation for Medical Semantic Textual Similarity"],"prefix":"10.1109","author":[{"given":"Jimeng","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Si","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","volume":"26","author":"mikolov","year":"2013","journal-title":"Advances in neural information processing systems"},{"journal-title":"ERNIE Enhanced Representation through Knowledge Integration","year":"0","author":"sun","key":"ref30"},{"key":"ref10","article-title":"Distilling task-specific knowledge from BERT into simple neural networks[J]","author":"tang","year":"2019","journal-title":"ArXiv Preprint"},{"journal-title":"RoBERTa A Robustly optimized BERT Pretraining Approach","year":"0","author":"liu","key":"ref11"},{"journal-title":"Analogical Reasoning on Chinese Morphological and Semantic Relations","year":"0","author":"li","key":"ref12"},{"journal-title":"An overview of gradient descent optimization algorithms","year":"0","author":"ruder","key":"ref13"},{"key":"ref14","article-title":"Efficient natural language response suggestion for smart reply","author":"henderson","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939801"},{"key":"ref16","first-page":"513","author":"gretton","year":"0","journal-title":"A kernel method for the two-sample-problem In Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl242"},{"key":"ref18","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"tzeng","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref19","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref28","first-page":"2654","article-title":"Do deep nets really need to be deep?","author":"ba","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6245"},{"journal-title":"A decomposable attention model for natural language inference","year":"0","author":"parikh","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401075"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.370"},{"key":"ref29","first-page":"1952","article-title":"LCQMC: A Large-scale Chinese Question Matching Corpus","author":"liu","year":"0","journal-title":"COLING 2018 27th International Conference on Computational Linguistics"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412047"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1108"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3382507.3418813"},{"key":"ref2","article-title":"Poly-encoders: Transformer architectures and pre-training strategies for fast and accurate multi-sentence scoring","author":"humeau","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref9","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding[J]","author":"devlin","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref1","article-title":"DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding","author":"zhang","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref20","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015","journal-title":"ArXiv"},{"key":"ref22","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150464"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1540"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.29007\/21r5"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00067"},{"journal-title":"Neural Machine Translation in Linear Time","year":"0","author":"kalchbrenner","key":"ref25"}],"event":{"name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","start":{"date-parts":[[2021,11,17]]},"location":"Beijing, China","end":{"date-parts":[[2021,11,19]]}},"container-title":["2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9660393\/9660398\/09660484.pdf?arnumber=9660484","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:40Z","timestamp":1652201800000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9660484\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,17]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ic-nidc54101.2021.9660484","relation":{},"subject":[],"published":{"date-parts":[[2021,11,17]]}}}