{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T23:53:14Z","timestamp":1768348394639,"version":"3.49.0"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"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":["62272100"],"award-info":[{"award-number":["62272100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Consulting Project of Chinese Academy of Engineering","award":["2023-XY-09"],"award-info":[{"award-number":["2023-XY-09"]}]},{"name":"Major Project of the National Social Science Fund of China","award":["21ZD11"],"award-info":[{"award-number":["21ZD11"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tnnls.2023.3290789","type":"journal-article","created":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T17:24:40Z","timestamp":1689096280000},"page":"15956-15970","source":"Crossref","is-referenced-by-count":4,"title":["Probabilistic Keyphrase Generation From Copy and Generating Spaces"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6692-3233","authenticated-orcid":false,"given":"Yu","family":"Yao","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1184-8117","authenticated-orcid":false,"given":"Peng","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8509-7523","authenticated-orcid":false,"given":"Guangzhen","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7335-2283","authenticated-orcid":false,"given":"Yanyan","family":"Ge","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3162-4062","authenticated-orcid":false,"given":"Ying","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering and the Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1162","article-title":"Opinion expression mining by exploiting keyphrase extraction","volume-title":"Proc. Int. Joint Conf. Natural Lang. Process. (IJCNLP)","author":"Berend"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339592"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/11510888_26"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3115\/1220175.1220243"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.366"},{"key":"ref6","first-page":"1395","article-title":"Domain-independent abstract generation for focused meeting summarization","volume-title":"Proc. Annu. Meeting Assoc. Comput. Linguistics (ACL)","author":"Wang"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080668"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.105"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3168431"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v5i1.14102"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1126\/science.346.6213.1063"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1240"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.710"},{"key":"ref14","first-page":"1","article-title":"Hyperspherical variational auto-encoders","volume-title":"Proc. Conf. Uncertainty Artif. Intell. (UAI)","author":"Davidson"},{"key":"ref15","first-page":"1","article-title":"DialogWAE: Multimodal response generation with conditional Wasserstein auto-encoder","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Gu"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.337"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-76941-7_80"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5041-y"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S17-2161"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"ref21","first-page":"248","article-title":"HUMB: Automatic key term extraction from scientific articles in GROBID","volume-title":"Proc. Int. Workshop Semantic Eval. (SemEval)","author":"Lopez"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50127-7_58"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/11739685_66"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96133-0_16"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1447"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p17-1054"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d18-1439"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1515"},{"key":"ref29","first-page":"1","article-title":"Neural machine translation by jointly learning to align and translate","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Bahdanau"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p16-1154"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1008"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.645"},{"key":"ref33","first-page":"343","article-title":"Domain separation networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"9","author":"Bousmalis"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1208"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016268"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.103"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.354"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6277"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1061"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1139"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105584"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K17-2005"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17198"},{"key":"ref44","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.135"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.482"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1480"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref49","first-page":"3483","article-title":"Learning structured output representation using deep conditional generative models","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Sohn"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref51","first-page":"1","article-title":"Categorical reparameterization with Gumbel-Softmax","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Jang"},{"key":"ref52","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/243"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/354756.354805"},{"key":"ref55","first-page":"1","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.2.270"},{"key":"ref57","first-page":"1","article-title":"RoBERTa: A robustly optimized bert pretraining approach","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Liu"},{"key":"ref58","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref59","first-page":"402","article-title":"Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Caruana"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1002"},{"key":"ref61","first-page":"404","article-title":"Textrank: Bringing order into text","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Mihalcea"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/313238.313437"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d16-1080"},{"issue":"140","key":"ref64","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.3115\/1119355.1119383"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-77094-7_41"},{"key":"ref68","article-title":"Large dataset for keyphrase extraction","author":"Krapivin","year":"2009"},{"key":"ref69","first-page":"21","article-title":"SemEval-2010 task 5: Automatic keyphrase extraction from scientific articles","volume-title":"Proc. 5th Int. Workshop Semantic Eval., (SemEval)","author":"Kim"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10737991\/10177896.pdf?arnumber=10177896","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T19:23:39Z","timestamp":1732735419000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10177896\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":69,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3290789","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}