{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T00:14:20Z","timestamp":1715213660770},"reference-count":17,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2021,7,1]]},"DOI":"10.1587\/transinf.2020edl8164","type":"journal-article","created":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T22:20:52Z","timestamp":1625091652000},"page":"1063-1066","source":"Crossref","is-referenced-by-count":0,"title":["A Global Deep Reranking Model for Semantic Role Classification"],"prefix":"10.1587","volume":"E104.D","author":[{"given":"Haitong","family":"YANG","sequence":"first","affiliation":[{"name":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University"},{"name":"National Language Resources Monitoring &amp; Research Center for Network Media, Central China Normal University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangyou","family":"ZHOU","sequence":"additional","affiliation":[{"name":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University"},{"name":"National Language Resources Monitoring &amp; Research Center for Network Media, Central China Normal University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"HE","sequence":"additional","affiliation":[{"name":"Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University"},{"name":"National Language Resources Monitoring &amp; Research Center for Network Media, Central China Normal University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maoxi","family":"LI","sequence":"additional","affiliation":[{"name":"School of Computer Information Engineering, Jiangxi Normal University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] D. Gildea and D. Jurafsky, \u201cAutomatic labeling for semantic roles,\u201d Comput. Linguist., vol.28, no.3, pp.245-288, 2002. 10.1162\/089120102760275983","DOI":"10.1162\/089120102760275983"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] S. Pradhan, K. Hacioglu, V. Krugler, W. Ward, J.H. Martin, and D. Jurafsky, \u201cSupport Vector Learning for Semantic Argument Classification,\u201d Mach. Learn., vol.60, no.1-3, pp.11-39, Sept. 2005. 10.1007\/s10994-005-0912-2","DOI":"10.1007\/s10994-005-0912-2"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] H. Zhao, W. Chen, C. Kit, and G. Zhou, \u201cMultilingual dependency learning: Exploiting rich features for tagging syntactic and semantic dependencies,\u201d Proc. Thirteenth Conference on Computational Natural Language Learning, Boulder, Colorado, pp.61-66, June 2009.","DOI":"10.3115\/1596409.1596419"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] N. Xue, \u201cLabeling Chinese Predicates with Semantic Roles,\u201d Comput. Linguist., vol.34, no.2, pp.225-255, June 2008. 10.1162\/coli.2008.34.2.225","DOI":"10.1162\/coli.2008.34.2.225"},{"key":"5","unstructured":"[5] R. Collobert and J. Weston, \u201cFast semantic extraction using a novel neural network architecture,\u201d Proc. 45th Annual Meeting of the Association of Computational Linguistics, Prague, Czech Republic, pp.560-567, June 2007."},{"key":"6","unstructured":"[6] R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa, \u201cNatural language processing (almost) from scratch,\u201d J. Mach. Learn. Res., vol.12, pp.2493-2537, 2011."},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] J. Zhou and W. Xu, \u201cEnd-to-end learning of semantic role labeling using recurrent neural networks,\u201d Proc. 53rd Annual Meeting of the Association for Computational Linguistics, Beijing, China, pp.1127-1137, July 2015. 10.3115\/v1\/p15-1109","DOI":"10.3115\/v1\/P15-1109"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] D. Marcheggiani and I. Titov, \u201cEncoding Sentences with Graph Convolutional Networks for Semantic Role Labeling,\u201d Proc. 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, pp.1506-1515, Sept. 2017. 10.18653\/v1\/d17-1159","DOI":"10.18653\/v1\/D17-1159"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] M. Roth and M. Lapata, \u201cNeural Semantic Role Labeling with Dependency Path Embeddings\u201d Proc. 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, pp.1192-1202. Aug. 2016. 10.18653\/v1\/p16-1113","DOI":"10.18653\/v1\/P16-1113"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] Z. Li, S. He, J. Cai, Z. Zhang, H. Zhao, G. Liu, L. Li, and L Si, \u201cA Unified Syntax-aware Framework for Semantic Role Labeling,\u201d Proc. 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, pp.2401-2411, Oct. 2018. 10.18653\/v1\/d18-1262","DOI":"10.18653\/v1\/D18-1262"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] V. Punyakanok, D. Roth, W.-T. Yih, and D. Zimak, \u201cSemantic Role Labeling via Integer Linear Programming Inference,\u201d Proc. 20th International Conference on Computational Linguistics, Switzerland, Article no.1346, Aug. 2004. 10.3115\/1220355.1220552","DOI":"10.3115\/1220355.1220552"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] K. Toutanova, A. Haghighi, and C. Manning, \u201cJoint Learning Improves Semantic Role Labeling,\u201d Proc. 43th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Ann Arbor, Michigan, pp.589-596, June 2005. 10.3115\/1219840.1219913","DOI":"10.3115\/1219840.1219913"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] H. Ouchi, H. Shindo, K. Duh, and Y. Matsumoto, \u201cJoint Case Argument Identification for Japanese Predicate Argument Structure Analysis,\u201d Proc. 53rd Annual Meeting of the Association for Computational Linguistics, Beijing, China, pp.961-970, July 2015. 10.3115\/v1\/p15-1093","DOI":"10.3115\/v1\/P15-1093"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] H. Ouchi, H. Shindo, and Y. Matsumoto, \u201cNeural Modeling of Multi-Predicate Interactions for Japanese Predicate Argument Structure Analysis,\u201d Proc. 55rd Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, pp.1591-1600, July 2017. 10.18653\/v1\/p17-1146","DOI":"10.18653\/v1\/P17-1146"},{"key":"15","unstructured":"[15] Y. Matsubayashi and K. Inui, \u201cDistance-free modeling of multi-predicate interactions in end-to-end Japanese predicate-argument structure analysis,\u201d Proc. 27th International Conference on Computational Linguistics, Santa Fe, New Mexico, USA, pp.94-106, Aug. 2018."},{"key":"16","unstructured":"[16] P. Shi and J. Lin, \u201cSimple bert models for relation extraction and semantic role labeling,\u201d arXiv preprint arXiv:1904.05255, 2019. 3."},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] J. Wang, Y. Song; T. Leung, C. Rosenberg, J. Wang, J. Philbin, B. Chen, and Y. Wu, \u201cLearning Fine-Grained Image Similarity with Deep Ranking,\u201d 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, pp.1386-1393, 2014. 10.1109\/cvpr.2014.180","DOI":"10.1109\/CVPR.2014.180"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E104.D\/7\/E104.D_2020EDL8164\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T05:06:18Z","timestamp":1715144778000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E104.D\/7\/E104.D_2020EDL8164\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,1]]},"references-count":17,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2021]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2020edl8164","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,1]]},"article-number":"2020EDL8164"}}