{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T16:13:01Z","timestamp":1784823181668,"version":"3.55.0"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/tnnls.2019.2890970","type":"journal-article","created":{"date-parts":[[2019,4,3]],"date-time":"2019-04-03T22:12:06Z","timestamp":1554329526000},"page":"3326-3337","source":"Crossref","is-referenced-by-count":87,"title":["Natural Language Statistical Features of LSTM-Generated Texts"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9663-1071","authenticated-orcid":false,"given":"Marco","family":"Lippi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0893-8530","authenticated-orcid":false,"given":"Marcelo A.","family":"Montemurro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mirko","family":"Degli Esposti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4601-8575","authenticated-orcid":false,"given":"Giampaolo","family":"Cristadoro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1121\/1.2016299"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/18.243444"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/18.45281"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1976.1055501"},{"key":"ref31","author":"cover","year":"2006","journal-title":"Elements of Information Theory"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1951.tb01366.x"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/18.669425"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1978.1055934"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1977.1055714"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1063\/1.166191"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/356168a0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/258317a0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.51.5084"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511519857"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(98)00055-1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref24","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":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevX.3.021006"},{"key":"ref25","author":"zaremba","year":"2014","journal-title":"Recurrent Neural Network Regularization"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1093\/llc\/fqq001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1142\/S0218348X02001257"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1117723109"},{"key":"ref40","first-page":"1137","article-title":"A neural probabilistic language model","volume":"3","author":"bengio","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref12","author":"graves","year":"2013","journal-title":"Generating Sequences with Recurrent Neural Networks"},{"key":"ref13","author":"karpathy","year":"2015","journal-title":"Visualizing and understanding recurrent networks"},{"key":"ref14","author":"zipf","year":"1935","journal-title":"The Psycho-Biology of Language An Introduction to Dynamic Philology"},{"key":"ref15","author":"heaps","year":"1978","journal-title":"Information Retrieval Computational and Theoretical Aspects"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/e19070299"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0189326"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-6637"},{"key":"ref19","author":"lake","year":"2017","journal-title":"Generalization without systematicity On the compositional skills of sequence-to-sequence recurrent networks"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.515"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1221"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1074"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.03.064"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/0378-4371(95)00025-3"},{"key":"ref46","author":"bennett","year":"1976","journal-title":"Scientific and Engineering Problem Solving with the Computer"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1080\/09296174.2013.830549"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1093\/llc\/18.4.423"},{"key":"ref47","first-page":"255","article-title":"N-gram-based author profiles for authorship attribution","author":"ke\u0161elj","year":"2003","journal-title":"Proceedings of PACLING"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24403-7_6"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1063\/1.2996507"},{"key":"ref43","author":"pachet","year":"2018","journal-title":"Constrained Markov Sequence Generation Applications to Music and Text"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8886738\/08681285.pdf?arnumber=8681285","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:41:22Z","timestamp":1628624482000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8681285\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":50,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2019.2890970","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11]]}}}