{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T18:02:51Z","timestamp":1775584971380,"version":"3.50.1"},"reference-count":94,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"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":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022,2,1]]},"DOI":"10.1109\/tkde.2020.2983360","type":"journal-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T22:11:59Z","timestamp":1585692719000},"page":"828-842","source":"Crossref","is-referenced-by-count":42,"title":["Neural Text Segmentation and its Application to Sentiment Analysis"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3262-3734","authenticated-orcid":false,"given":"Jing","family":"Li","sequence":"first","affiliation":[]},{"given":"Billy","family":"Chiu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1117-2890","authenticated-orcid":false,"given":"Shuo","family":"Shang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8264-6117","authenticated-orcid":false,"given":"Ling","family":"Shao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"33","article-title":"TextTiling: Segmenting text into multi-paragraph subtopic passages","volume":"23","author":"Hearst","year":"1997","journal-title":"Comput. Linguistics"},{"key":"ref2","first-page":"26","article-title":"Advances in domain independent linear text segmentation","volume-title":"Proc. 1st North Amer. Chapter Assoc. Comput. Linguistics Conf.","author":"Choi"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/COLI_a_00226"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1076034.1076071"},{"issue":"3","key":"ref5","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1023\/A:1026028229881","article-title":"Applying machine learning to text segmentation for information retrieval","volume":"6","author":"Huang","year":"2003","journal-title":"Inf. Retrieval"},{"key":"ref6","first-page":"1334","article-title":"Topic segmentation algorithms for text summarization and passage retrieval: An exhaustive evaluation","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Dias"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/6754.001.0001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1515\/text.1.1988.8.3.243"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220608"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2200\/s00354ed1v01y201111hlt015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3115\/1075096.1075167"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/383952.384021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/jmlr.2003.3.4-5.993"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/1613715.1613760"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12116-6_26"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073475"},{"key":"ref17","article-title":"The utility of parse-derived features for automatic discourse segmentation","volume-title":"Proc. Annu. Meet. Assoc. Comput. Linguistics","author":"Fisher"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2200\/s00762ed1v01y201703hlt037"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.03.014"},{"key":"ref20","first-page":"282","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lafferty"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n16-1030"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p16-1101"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/579"},{"key":"ref24","first-page":"2692","article-title":"Pointer networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Vinyals"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/702"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1253"},{"key":"ref27","first-page":"151","article-title":"Semi-supervised recursive autoencoders for predicting sentiment distributions","volume-title":"Proc. Conf. Empir. Methods Natural Lang. Process.","author":"Socher"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/p14-2009"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3115\/1073012.1073076"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/584792.584829"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646170"},{"key":"ref32","first-page":"37","article-title":"TopicTiling: A text segmentation algorithm based on LDA","volume-title":"Proc. Annu. Meet. Assoc. Comput. Linguistics","author":"Riedl"},{"key":"ref33","first-page":"190","article-title":"Topic segmentation with a structured topic model","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Du"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordhb\/9780199276349.013.0011"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-2390-9_10"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073163"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2433262"},{"key":"ref38","first-page":"359","article-title":"Recognizing named entities in tweets","volume-title":"Proc. Annu. Meet. Assoc. Comput. Linguistics","author":"Liu"},{"key":"ref39","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"Collobert","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00335"},{"key":"ref41","article-title":"Efficient estimation of word representations in vector space","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Mikolov"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1282"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref44","first-page":"911","article-title":"CharNER: Character-level named entity recognition","volume-title":"Proc. 26th Int. Conf. Comput. Linguistics: Tech. Papers","author":"Kuru"},{"key":"ref45","first-page":"566","article-title":"Named entity recognition with stack residual LSTM and trainable Bias decoding","volume-title":"Proc. 8th Int. Joint Conf. Natural Lang. Process.","author":"Tran"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2017.05.002"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1283"},{"key":"ref48","article-title":"Bidirectional LSTM-CRF models for sequence tagging","author":"Huang","year":"2015"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00104"},{"key":"ref50","first-page":"309","article-title":"Attending to characters in neural sequence labeling models","volume-title":"Proc. 26th Int. Conf. Comput. Linguistics: Tech. Papers","author":"Rei"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-69005-6_12"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1027"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w17-2630"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10995"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.irfa.2014.02.006"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39146-0_8"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/2110363.2110390"},{"key":"ref58","first-page":"1115","article-title":"Using WordNet to measure semantic orientations of adjectives","volume-title":"Proc. 4th Int. Conf. Lang. Resour. Eval.","author":"Kamps"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.12.147"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41278-3_24"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.05.028"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2010.08.021"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2018.2812729"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-018-0621-y"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/311"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p17-1154"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1103"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1180"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186015"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1342"},{"key":"ref75","first-page":"746","article-title":"Linguistic regularities in continuous space word representations","volume-title":"Proc. Annu. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Mikolov"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref77","article-title":"A simple but tough-to-beat baseline for sentence embeddings","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Arora"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/w14-4012"},{"key":"ref79","first-page":"4601","article-title":"Professor forcing: A new algorithm for training recurrent networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Lamb"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d15-1166"},{"key":"ref81","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2019"},{"key":"ref82","article-title":"Googles neural machine translation system: Bridging the gap between human and machine translation","author":"Wu","year":"2016"},{"key":"ref83","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007506220214"},{"key":"ref85","volume-title":"RST Discourse Treebank","author":"Carlson","year":"2002"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860494"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-2016"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1023\/B:JIIS.0000039534.65423.00"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219855"},{"key":"ref90","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","volume-title":"Proc. Conf. Empir. Methods Natural Lang. Process.","author":"Socher"},{"key":"ref91","first-page":"455","article-title":"Parsing with compositional vector grammars","volume-title":"Proc. Annu. Meet. Assoc. Comput. Linguistics","author":"Socher"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1162"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1169"},{"key":"ref94","first-page":"3856","article-title":"Dynamic routing between capsules","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Sabour"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9677034\/09051834.pdf?arnumber=9051834","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T22:24:20Z","timestamp":1704839060000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9051834\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,1]]},"references-count":94,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2020.2983360","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,1]]}}}