{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:15:53Z","timestamp":1743092153634,"version":"3.37.3"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"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":["62176245","62137002"],"award-info":[{"award-number":["62176245","62137002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Anhui Province","award":["202104a05020011","202103a07020002"],"award-info":[{"award-number":["202104a05020011","202103a07020002"]}]},{"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. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1109\/tetci.2021.3136598","type":"journal-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T20:30:13Z","timestamp":1641501013000},"page":"883-892","source":"Crossref","is-referenced-by-count":4,"title":["Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1843-6836","authenticated-orcid":false,"given":"Shengfei","family":"Lyu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8204-6197","authenticated-orcid":false,"given":"Xingyu","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"}]},{"given":"Jinlong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"}]},{"given":"Qiuju","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3918-384X","authenticated-orcid":false,"given":"Huanhuan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380301"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"229","DOI":"10.18653\/v1\/P19-1023","article-title":"Neural relation extraction for knowledge base enrichment","volume-title":"Proc. 57th Annu. Meeting Assoc. Comput. Linguistics","author":"Trisedya","year":"2019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6244"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1123"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1244"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1279"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358119"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6369"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3360901.3364441"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/1621969.1621986"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref14","first-page":"2335","article-title":"Relation classification via convolutional deep neural network","volume-title":"Proc. COLING, 25th Int. Conf. Comput. Linguistics, Tech. Papers","author":"Zeng","year":"2014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W15-1506"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1062"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1203"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1061"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1206"},{"key":"ref21","first-page":"1461","article-title":"Improved relation classification by deep recurrent neural networks with data augmentation","volume-title":"Proc. COLING 26th Int. Conf. Comput. Linguistics, Tech. Papers","author":"Xu","year":"2016"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1105"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/750"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.3040444"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30493-5_10"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487700"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2256797"},{"key":"ref28","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"390","DOI":"10.18653\/v1\/2021.findings-acl.34","article-title":"Relation classification with entity type restriction","volume-title":"Proc. Findings Assoc. Comput. Linguistics, ACL-IJCNLP","author":"Lyu","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref31","first-page":"233","article-title":"Hierarchical embeddings for hypernymy detection and directionality","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Nguyen","year":"2017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017128"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1537"},{"key":"ref35","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst. 30, Annu. Conf. Neural Inf. Process. Syst.","author":"Vaswani","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1282"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-3007"},{"key":"ref38","first-page":"256","article-title":"UTD: Classifying semantic relations by combining lexical and semantic resources","volume-title":"Proc. 5th Int. Workshop Semantic Eval.","author":"Rink","year":"2010"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1132"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1005"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1356"},{"key":"ref44","article-title":"Relation extraction as two-way span-prediction","author":"Cohen","year":"2020","journal-title":"arXiv:2010.04829"},{"key":"ref45","article-title":"Downstream model design of pre-trained language model for relation extraction task","author":"Li","year":"2020","journal-title":"arXiv:2004.03786"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7433297\/9834983\/09671053.pdf?arnumber=9671053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:38:35Z","timestamp":1705185515000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671053\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":45,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2021.3136598","relation":{},"ISSN":["2471-285X"],"issn-type":[{"type":"electronic","value":"2471-285X"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}