{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T00:30:23Z","timestamp":1780101023195,"version":"3.54.0"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"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":["IIEEE Trans. Software Eng."],"published-print":{"date-parts":[[2021,10,1]]},"DOI":"10.1109\/tse.2019.2946830","type":"journal-article","created":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T20:05:33Z","timestamp":1570824333000},"page":"2296-2311","source":"Crossref","is-referenced-by-count":32,"title":["Easy-to-Deploy API Extraction by Multi-Level Feature Embedding and Transfer Learning"],"prefix":"10.1109","volume":"47","author":[{"given":"Suyu","family":"Ma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7663-1421","authenticated-orcid":false,"given":"Zhenchang","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2011-9618","authenticated-orcid":false,"given":"Chunyang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lizhen","family":"Qu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9005-7112","authenticated-orcid":false,"given":"Guoqiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Crowd documentation: Exploring the coverage and the dynamics of api discussions on stack overflow.","volume":"11","author":"Parnin","journal-title":"Georgia Inst. Technol."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSME.2016.11"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2012.6227207"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2568225.2568313"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2017.48"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2019.2940439"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICSME.2018.00028"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238191"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2017.8115681"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SANER.2016.10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119195"},{"key":"ref12","first-page":"657","article-title":"Learning many related tasks at the same time with backpropagation","volume-title":"Proc. 7th Int. Conf. Neural Inf. Process. Syst.","author":"Caruana"},{"key":"ref13","first-page":"245","article-title":"Exploiting feature hierarchy for transfer learning in named entity recognition","volume-title":"Proc. ACL-08: HLT","author":"Arnold"},{"key":"ref14","first-page":"3320","article-title":"How transferable are features in deep neural networks?","volume-title":"Proc. 27th Int. Conf. Neural Inf. Process. Syst.","author":"Yosinski"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"3129","DOI":"10.1007\/s10664-018-9608-7","article-title":"APIReal: An API recognition and linking approach for online developer forums","volume":"23","author":"Deheng Ye","year":"2018","journal-title":"Empirical Softw. Eng."},{"key":"ref16","first-page":"69","article-title":"Deep convolutional neural networks for sentiment analysis of short texts","volume-title":"Proc. 25th Int. Conf. Comput. Linguistics: Tech. Papers","author":"dos Santos"},{"key":"ref17","first-page":"1818","article-title":"Learning character-level representations for part-of-speech tagging","volume-title":"Proc. 31st Int. Conf. Mach. Learn.","author":"Santos"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2970276.2970317"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3274302"},{"key":"ref20","article-title":"Modelling out-of-vocabulary words for robust speech recognition","author":"Bazzi","year":"2002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SANER.2016.21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2970276.2970290"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-018-9657-y"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238208"},{"key":"ref25","first-page":"2177","article-title":"Neural word embedding as implicit matrix factorization","volume-title":"Proc. 27th Int. Conf. Neural Inf. Process. Syst.","volume":"2","author":"Levy"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1146"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00134"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref29","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Sutskever"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3134667"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SANER.2019.8667994"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-019-09702-z"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2019.2896123"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref35","article-title":"Bidirectional LSTM-CRF models for sequence tagging","author":"Huang","year":"2015","journal-title":"arXiv:1508.01991"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2014-80"},{"key":"ref38","first-page":"17","article-title":"Deep learning of representations for unsupervised and transfer learning","volume-title":"Proc. ICML Workshop Unsupervised Transfer Learn.","author":"Bengio"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"issue":"1","key":"ref40","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref41","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1806799.1806855"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/WCRE.2009.44"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"ref46","article-title":"Optimization as a model for few-shot learning","author":"Ravi","year":"2016","journal-title":"Proc. Int. Conf. Learn. Representations"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2003.1201194"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2008.16"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/2025113.2025197"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2015.81"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2884781.2884800"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2013.6606629"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/WCRE.2001.957806"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2011.6100103"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10362"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052675"},{"key":"ref57","article-title":"Character-based neural machine translation","author":"Ling","year":"2015","journal-title":"arXiv:1511.04586"},{"key":"ref58","first-page":"649","article-title":"Character-level convolutional networks for text classification","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","volume":"1","author":"Zhang"},{"key":"ref59","first-page":"1818","article-title":"Learning character-level representations for part-of-speech tagging","volume-title":"Proc. 31st Int. Conf. Mach. Learn.","author":"Santos"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00104"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1030"}],"container-title":["IEEE Transactions on Software Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/32\/9573514\/08865646.pdf?arnumber=8865646","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T00:42:23Z","timestamp":1706056943000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8865646\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,1]]},"references-count":61,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tse.2019.2946830","relation":{},"ISSN":["0098-5589","1939-3520","2326-3881"],"issn-type":[{"value":"0098-5589","type":"print"},{"value":"1939-3520","type":"electronic"},{"value":"2326-3881","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,1]]}}}