{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T05:39:48Z","timestamp":1775281188271,"version":"3.50.1"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2010,12,1]],"date-time":"2010-12-01T00:00:00Z","timestamp":1291161600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2010,12]]},"DOI":"10.1109\/jstsp.2010.2075990","type":"journal-article","created":{"date-parts":[[2010,9,15]],"date-time":"2010-09-15T20:56:00Z","timestamp":1284584160000},"page":"965-973","source":"Crossref","is-referenced-by-count":33,"title":["Sequential Labeling Using Deep-Structured Conditional Random Fields"],"prefix":"10.1109","volume":"4","author":[{"given":"Dong","family":"Yu","sequence":"first","affiliation":[]},{"given":"Shizhen","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Li","family":"Deng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281288"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972788.38"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495072"},{"key":"ref30","article-title":"learning in the deep-structured conditional random fields","author":"yu","year":"2009","journal-title":"Proc NIPS Workshop Deep Learn Speech Recogn Relat Applicat"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2000.862024"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref12","first-page":"282","article-title":"conditional random fields: probabilistic models for segmenting and labeling sequence data","author":"lafferty","year":"2001","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459248"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390393"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1572039"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/1699648.1699675"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-48113-3_41"},{"key":"ref18","article-title":"generalized expectation criteria for semi-supervised learning of conditional random fields","author":"mann","year":"2008","journal-title":"Proc ACL"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2307\/2006193"},{"key":"ref4","article-title":"guiding semi-supervision with constraint-driven learning","author":"chang","year":"2007","journal-title":"Proc ACL"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.06.005"},{"key":"ref3","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2009.2020890"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177692379"},{"key":"ref5","first-page":"671","article-title":"stacked sequential learning","author":"cohen","year":"2005","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2009.932793"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2006.878265"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2005.854107"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/1613715.1613848"},{"key":"ref1","article-title":"extracting structured data from webpage","author":"arasu","year":"2003","journal-title":"Proc ACM SIGMOD Int Conf Management of Data"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219886"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860479"},{"key":"ref22","first-page":"693","article-title":"dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data","volume":"8","author":"sutton","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref21","first-page":"586","article-title":"a direct adaptive method for faster back-propagation learning: the rprop algorithm","volume":"1","author":"riedmiller","year":"1993","journal-title":"Proc IEEE ICNN"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1076034.1076091"},{"key":"ref23","author":"truyen","year":"2008","journal-title":"On Conditional Random Fields Applications Feature Selection Parameter Estimation and Hierarchical Modelling"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2006.05.002"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"553","DOI":"10.21437\/Interspeech.2005-339","article-title":"evaluation of a long-contextual-span hidden trajectory model and phonetic recognizer using a* lattice search","author":"yu","year":"2005","journal-title":"Proc INTERSPEECH"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/4200690\/5623290\/05570918.pdf?arnumber=5570918","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,10]],"date-time":"2021-11-10T01:20:03Z","timestamp":1636507203000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5570918\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,12]]},"references-count":33,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2010.2075990","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"value":"1932-4553","type":"print"},{"value":"1941-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,12]]}}}