{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:06:53Z","timestamp":1765544813467,"version":"3.37.3"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFB0304100"],"award-info":[{"award-number":["2017YFB0304100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Key Projects of National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1836222","61733011","61972251"],"award-info":[{"award-number":["U1836222","61733011","61972251"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3083838","type":"journal-article","created":{"date-parts":[[2021,5,26]],"date-time":"2021-05-26T22:06:05Z","timestamp":1622066765000},"page":"85071-85083","source":"Crossref","is-referenced-by-count":26,"title":["When SMILES Smiles, Practicality Judgment and Yield Prediction of Chemical Reaction via Deep Chemical Language Processing"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5921-8512","authenticated-orcid":false,"given":"Shu","family":"Jiang","sequence":"first","affiliation":[{"name":"Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4183-3645","authenticated-orcid":false,"given":"Zhuosheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7290-0487","authenticated-orcid":false,"given":"Hai","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Jiangtong","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5720-773X","authenticated-orcid":false,"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8359-0058","authenticated-orcid":false,"given":"Bao-Liang","family":"Lu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3178-3039","authenticated-orcid":false,"given":"Ning","family":"Xia","sequence":"additional","affiliation":[{"name":"Chemical.AI, Shanghai, China"}]}],"member":"263","reference":[{"article-title":"rdkit\/rdkit: 2017_09_1 (Q3 2017) release","year":"2017","author":"landrum","key":"ref31"},{"article-title":"Extraction of chemical structures and reactions from the literature","year":"2012","author":"lowe","key":"ref30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1021\/jo900032x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1021\/jo900497s"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1021\/ja5111392"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/nature17439"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.7b00064"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.6b00219"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.7b00572"},{"key":"ref17","article-title":"&#x2018;Found in Translation&#x2019;: Predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models","author":"schwaller","year":"2017","journal-title":"arXiv 1711 04810"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1126\/science.aar5169"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/chem.201605499"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1021\/acsami.5b07311"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1021\/op800266x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1021\/jp9717610"},{"journal-title":"Chemical Reactions From U S Patents (1976-sep2016)","year":"2017","author":"lowe","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.7b00212"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1021\/op200162c"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1021\/cr200055g"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1021\/ie0498403"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1021\/acscatal.5b00820"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1021\/cr100304n"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1021\/ci00057a005"},{"key":"ref22","first-page":"223","article-title":"The virtual corpus approach to deriving ngram statistics from large scale corpora","author":"kit","year":"1998","journal-title":"Proc Int Conf Chin Inf Process"},{"key":"ref21","first-page":"9","article-title":"An empirical comparison of goodness measures for unsupervised Chinese word segmentation with a unified framework","volume":"1","author":"zhao","year":"2008","journal-title":"Proc 3rd Int Joint Conf Natural Lang Process"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/0022-2836(70)90057-4"},{"key":"ref23","volume":"27","author":"shannon","year":"1948","journal-title":"A Mathematical Theory of Communication"},{"key":"ref26","first-page":"2786","article-title":"Siamese recurrent architectures for learning sentence similarity","author":"mueller","year":"2016","journal-title":"Proc 13th AAAI Conf Artif Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899663"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09440947.pdf?arnumber=9440947","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:55:35Z","timestamp":1662670535000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9440947\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3083838","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2021]]}}}