{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T22:23:59Z","timestamp":1746311039549,"version":"3.37.3"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["SQ2018AAA010010"],"award-info":[{"award-number":["SQ2018AAA010010"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFB1005103"],"award-info":[{"award-number":["2018YFB1005103"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702137"],"award-info":[{"award-number":["61702137"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/taslp.2019.2947364","type":"journal-article","created":{"date-parts":[[2019,10,14]],"date-time":"2019-10-14T19:28:42Z","timestamp":1571081322000},"page":"2313-2325","source":"Crossref","is-referenced-by-count":5,"title":["TEND: A Target-Dependent Representation Learning Framework for News Document"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4955-9270","authenticated-orcid":false,"given":"Junwen","family":"Duan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5838-0320","authenticated-orcid":false,"given":"Xiao","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1138"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-49430-8_3"},{"key":"ref33","first-page":"547","article-title":"Implicit discourse relation recognition using neural tensor network with interactive attention and sparse learning","author":"guo","year":"0","journal-title":"Proc 27th Int Conf Comput Linguist"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1224"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1055"},{"key":"ref30","article-title":"Reasoning about entailment with neural attention","author":"rockt\u00e4schel","year":"2015","journal-title":"arXiv 1509 06664"},{"key":"ref37","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref36","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"0","journal-title":"Proc AISTATS"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2007.01232.x"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.608601"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref27","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707742"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.1970.tb00518.x"},{"key":"ref1","first-page":"2823","article-title":"Learning target-specific representations of financial news documents for cumulative abnormal return prediction","author":"duan","year":"0","journal-title":"Proc 27th Int Conf Comput Linguist"},{"key":"ref20","article-title":"Measuring the information content of financial news","author":"chang","year":"0","journal-title":"Proc 26th COLING"},{"key":"ref22","first-page":"2133","article-title":"Knowledge-driven event embedding for stock prediction","author":"ding","year":"0","journal-title":"Proc COLING 26th Int Conf Comput Linguist Tech Papers"},{"key":"ref21","first-page":"2327","article-title":"Deep learning for event-driven stock prediction","author":"ding","year":"0","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1051"},{"key":"ref23","first-page":"3087","article-title":"Gated neural networks for targeted sentiment analysis","author":"zhang","year":"0","journal-title":"Proc AAAI"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1084"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1106"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1074"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1205"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806651"},{"key":"ref10","first-page":"1188","article-title":"Distributed representations of sentences and documents","volume":"14","author":"le","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1167"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1066"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1146"},{"key":"ref13","article-title":"Improving Twitter sentiment classification using topic-enriched multi-prototype word embeddings","author":"ren","year":"0","journal-title":"Proc AAAI"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1107"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref16","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014","journal-title":"arXiv 1409 0473"},{"key":"ref17","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"arXiv 1810 04805"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-2068"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1109"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/ajps.12145"},{"key":"ref6","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1148"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1003"},{"key":"ref9","first-page":"3294","article-title":"Skip-thought vectors","author":"kiros","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref46","first-page":"116","article-title":"Recognizing stances in ideological on-line debates","author":"somasundaran","year":"0","journal-title":"Proc NAACL HLT Workshop Comput Approach Anal Generat Emotion in Text"},{"key":"ref45","first-page":"592","article-title":"Stance classification using dialogic properties of persuasion","author":"walker","year":"0","journal-title":"Proc 2012 Conf North Am Chapter Assoc for Comput Linguist Human Lang Technol"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1012"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-2715"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1462198.1462204"},{"key":"ref41","first-page":"2023","article-title":"Task-oriented word embedding for text classification","author":"liu","year":"0","journal-title":"Proc 27th Int Conf Comput Linguist"},{"key":"ref44","first-page":"873","article-title":"Semantic frames to predict stock price movement","author":"xie","year":"0","journal-title":"Proc ACL"},{"key":"ref43","first-page":"1","article-title":"Enhancing stock market prediction with extended coupled hidden markov model over multi-sourced data","author":"zhang","year":"2018","journal-title":"Knowl Inf Syst"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/8817316\/08868172.pdf?arnumber=8868172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:54:26Z","timestamp":1657745666000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8868172\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":52,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/taslp.2019.2947364","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"type":"print","value":"2329-9290"},{"type":"electronic","value":"2329-9304"}],"subject":[],"published":{"date-parts":[[2019,12]]}}}