{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:10:03Z","timestamp":1755907803358,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,27]],"date-time":"2023-12-27T00:00:00Z","timestamp":1703635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,27]]},"DOI":"10.1145\/3639479.3639519","type":"proceedings-article","created":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T07:55:51Z","timestamp":1709106951000},"page":"193-198","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Implicit Chinese Binary Compound Sentence Relation Recognition Based on DERIA"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-5532-8060","authenticated-orcid":false,"given":"Haiying","family":"Lu","sequence":"first","affiliation":[{"name":"Central China Normal University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1942-9681","authenticated-orcid":false,"given":"Yuan","family":"Li","sequence":"additional","affiliation":[{"name":"Central China Normal University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5121-3833","authenticated-orcid":false,"given":"Yuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Central China Normal University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3759-4417","authenticated-orcid":false,"given":"Jiacheng","family":"Lv","sequence":"additional","affiliation":[{"name":"Central China Normal University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,2,28]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"A Survey to Discourse Relation Analyzing","author":"Yan W.","year":"2016","unstructured":"[1] Yan, W., Xu, Y., Zhu, S., et al. A Survey to Discourse Relation Analyzing, 2016, 30(4): 11. DOI: CNKI:SUN:MESS.0.2016-04-001."},{"key":"e_1_3_2_2_2_1","volume-title":"A Study on Chinese Complex Sentences","author":"Xing F.","year":"2001","unstructured":"[2] Xing, F. (2001). A Study on Chinese Complex Sentences. Commercial Press."},{"key":"e_1_3_2_2_3_1","volume-title":"A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task[C]\/\/Empirical Methods in Natural Language Processing","author":"Liakata M","year":"2013","unstructured":"[3] Liakata M, Dobnik S, Saha S,et al. A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task[C]\/\/Empirical Methods in Natural Language Processing.Association for Computational Linguistics, 2013."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","unstructured":"[4] Zou B Zhou G Zhu Q.Negation Focus Identification with Contextual Discourse Information[J]. 2014.DOI: 10.3115\/v1\/P14-1049.","DOI":"10.3115\/v1\/P14-1049"},{"key":"e_1_3_2_2_5_1","unstructured":"[5] Papineni K.A Method for Automatic Evaluation of Machine Translation[J].Proc Acl 2002."},{"key":"e_1_3_2_2_6_1","unstructured":"[6] Huttunen Silja Vihavainen Arto Yangarber Roman.Relevance Prediction in Information Extraction using Discourse and Lexical Features[J]. 2011.DOI:http:\/\/hdl.handle.net\/10062\/17297."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","unstructured":"[7] Liu Y Li S Zhang X et al. Implicit Discourse Relation Classification via Multi-Task Neural Networks.2016[2023-10-15]. DOI: 10.48550\/arXiv.1603.02776.","DOI":"10.48550\/arXiv.1603.02776"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.3778\/j.issn.1002-8331.1401-0214"},{"issue":"1","key":"e_1_3_2_2_9_1","article-title":"Rule-based identification of compound sentences relation words","volume":"29","author":"Jia S.","year":"2015","unstructured":"[9] Jia, S., Lei, L., Hu, M. Rule-based identification of compound sentences relation words. Journal of Chinese Information Processing, 2015, 29(1).","journal-title":"Journal of Chinese Information Processing"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1003-0077.2015.04.002"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1001-3695.2011.12.006"},{"key":"e_1_3_2_2_12_1","volume-title":"On Construction of a Chinese Corpus Based on Semantic Dependency Relations","author":"You F.","year":"2003","unstructured":"[12] You, F., Li, J., Wang, Z. On Construction of a Chinese Corpus Based on Semantic Dependency Relations, 2003, 017(001): 46-53."},{"key":"e_1_3_2_2_13_1","first-page":"4","article-title":"Research on rule engine for automatic identification of relation words in Chinese complex sentences","volume":"41","author":"Yang J.","year":"2014","unstructured":"[13] Yang, J., Xie, F., Hu, J. Research on rule engine for automatic identification of relation words in Chinese complex sentences. Computer Science, 2014, 41(B11): 4. DOI: CNKI:SUN:JSJA.0.2014-S2-006.","journal-title":"Computer Science"},{"issue":"03","key":"e_1_3_2_2_14_1","first-page":"65","article-title":"Research on classification of Chinese complex sentences based on relationship markers","volume":"2011","author":"Wu F","unstructured":"[14] Wu, F. Research on classification of Chinese complex sentences based on relationship markers. Journal of Chinese Linguistics, 2011(03): 65-75+98. DOI: CNKI:SUN:HYXA.0.2011-03-010.","journal-title":"Journal of Chinese Linguistics"},{"key":"e_1_3_2_2_15_1","first-page":"343","article-title":"Recognizing implicit discourse relations in the Penn Discourse Treebank[C]\/\/Proceedings of the Conference on Empirical Methods","volume":"2009","author":"Lin Z","unstructured":"[15] Lin Z, Kan M Y, Ng H T. Recognizing implicit discourse relations in the Penn Discourse Treebank[C]\/\/Proceedings of the Conference on Empirical Methods in Natural Language Processing. 2009: 343-351.","journal-title":"Natural Language Processing."},{"key":"e_1_3_2_2_16_1","first-page":"1507","article-title":"Predicting discourse connectives for implicit discourse relation recognition [C]\/\/Proceedings of the Coling","volume":"2010","author":"Zhou Z M","unstructured":"[16] Zhou Z M, Xu Y, Niu Z Y, et al. Predicting discourse connectives for implicit discourse relation recognition [C]\/\/Proceedings of the Coling: Posters. 2010: 1507-1514.","journal-title":"Posters."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","unstructured":"[17] Samuel R\u00f6nnqvist Schenk N Chiarcos C.A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations[J]. 2017.DOI:10.18653\/v1\/P17-2040.","DOI":"10.18653\/v1\/P17-2040"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"[18] Qin L Zhang Z Zhao H. Shallow discourse parsing using convolutional neural network[C]\/\/Proceedings of the CoNLL-16 shared task. 2016: 70-77.","DOI":"10.18653\/v1\/K16-2010"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","unstructured":"[19] Lan M Wang J Wu Y et al.Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification[C]\/\/Conference on Empirical Methods in Natural Language Processing.2017.DOI:10.18653\/v1\/D17-1134.","DOI":"10.18653\/v1\/D17-1134"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","unstructured":"[20] Xu J Sun X. Dependency-based gated recursive neural network for chinese word segmentation[C]\/\/Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2016: 567-572.","DOI":"10.18653\/v1\/P16-2092"},{"key":"e_1_3_2_2_21_1","volume-title":"Proceedings of the 3rd HNC and Linguistics Research Academic Workshop. Beijing Normal University; Institute of Acoustics, Chinese Academy of Sciences","author":"Xing F.","year":"2005","unstructured":"[21] Xing, F., Yao, S. Construction and utilization of Chinese complex sentence corpora. In Proceedings of the 3rd HNC and Linguistics Research Academic Workshop. Beijing Normal University; Institute of Acoustics, Chinese Academy of Sciences, 2005."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-014-9290-3"},{"key":"e_1_3_2_2_23_1","volume-title":"Preliminary investigation on the relative of the complex sentences based on rules. Fujian Computer","author":"Shen W.","year":"2007","unstructured":"[23] Shen, W., Yao, S. Preliminary investigation on the relative of the complex sentences based on rules. Fujian Computer, 2007(4): 2. DOI: CNKI:SUN:FJDN.0.2007-04-004."},{"issue":"10","key":"e_1_3_2_2_24_1","first-page":"90","article-title":"Research on the extraction of relation markers in compound sentences oriented to Chinese information processing","volume":"31","author":"Hu J.","year":"2009","unstructured":"[24] Hu, J., Shu, J., Yao, S., et al. Research on the extraction of relation markers in compound sentences oriented to Chinese information processing. Computer Engineering and Science, 2009, 31(10): 90-93.","journal-title":"Computer Engineering and Science"},{"issue":"1","key":"e_1_3_2_2_25_1","article-title":"Rule-based automatic identification of conjunctions in complex sentences","volume":"29","author":"Jia S.","year":"2015","unstructured":"[25] Jia, S., Lei, L., Hu, M. Rule-based automatic identification of conjunctions in complex sentences. Journal of Chinese Information Processing, 2015, 29(1).","journal-title":"Journal of Chinese Information Processing"},{"issue":"07","key":"e_1_3_2_2_26_1","first-page":"190","article-title":"Research on rule-based automatic identification of cohesive relation markers","volume":"39","author":"Hu J.","year":"2012","unstructured":"[26] Hu, J., Chen, J., Yang, J., et al. Research on rule-based automatic identification of cohesive relation markers. Computer Science, 2012, 39(07): 190-194.","journal-title":"Computer Science"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1001-3695.2018.06.034"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1003-0077.2013.06.008"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1001-3695.2008.03.034"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.7666\/d.y1329609"},{"key":"e_1_3_2_2_31_1","volume-title":"A neural probabilistic language model[J]. Advances in neural information processing systems","author":"Bengio Y","year":"2000","unstructured":"[31] Bengio Y, Ducharme R, Vincent P. A neural probabilistic language model[J]. Advances in neural information processing systems, 2000, 13."},{"key":"e_1_3_2_2_32_1","volume-title":"Convolutional neural networks for sentence classification[J]. arXiv preprint arXiv:1408.5882","author":"Kim Y.","year":"2014","unstructured":"[32] Kim Y. Convolutional neural networks for sentence classification[J]. arXiv preprint arXiv:1408.5882, 2014."},{"key":"e_1_3_2_2_33_1","volume-title":"Recurrent convolutional neural networks for text classification[C]\/\/Proceedings of the AAAI conference on artificial intelligence","author":"Lai S","year":"2015","unstructured":"[33] Lai S, Xu L, Liu K, et al. Recurrent convolutional neural networks for text classification[C]\/\/Proceedings of the AAAI conference on artificial intelligence. 2015, 29(1)."},{"key":"e_1_3_2_2_34_1","volume-title":"Sequence to sequence learning with neural networks[J]. Advances in neural information processing systems","author":"Sutskever I","year":"2014","unstructured":"[34] Sutskever I, Vinyals O, Le Q V. Sequence to sequence learning with neural networks[J]. Advances in neural information processing systems, 2014, 27."},{"key":"e_1_3_2_2_35_1","volume-title":"Gate-variants of gated recurrent unit (GRU) neural networks[C]\/\/2017 IEEE 60th international midwest symposium on circuits and systems (MWSCAS)","author":"Dey R","year":"2017","unstructured":"[35] Dey R, Salem F M. Gate-variants of gated recurrent unit (GRU) neural networks[C]\/\/2017 IEEE 60th international midwest symposium on circuits and systems (MWSCAS). IEEE, 2017: 1597-1600."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"crossref","unstructured":"[36] Zhou P Shi W Tian J et al. Attention-based bidirectional long short-term memory networks for relation classification[C]\/\/Proceedings of the 54th annual meeting of the association for computational linguistics (volume 2: Short papers). 2016: 207-212.","DOI":"10.18653\/v1\/P16-2034"},{"issue":"6","key":"e_1_3_2_2_37_1","first-page":"10","article-title":"Chinese compound sentence relation recognition method based on multi-path CNN with intra-sentence attention mechanism","volume":"2020","author":"Sun K.","unstructured":"[37] Sun, K., Deng, D., Li, Y., et al. Chinese compound sentence relation recognition method based on multi-path CNN with intra-sentence attention mechanism. Journal of Chinese Information Processing, 2020(6): 10.","journal-title":"Journal of Chinese Information Processing"}],"event":{"name":"MLNLP 2023: 2023 6th International Conference on Machine Learning and Natural Language Processing","acronym":"MLNLP 2023","location":"Sanya China"},"container-title":["Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3639479.3639519","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3639479.3639519","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T23:52:56Z","timestamp":1755906776000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3639479.3639519"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,27]]},"references-count":37,"alternative-id":["10.1145\/3639479.3639519","10.1145\/3639479"],"URL":"https:\/\/doi.org\/10.1145\/3639479.3639519","relation":{},"subject":[],"published":{"date-parts":[[2023,12,27]]},"assertion":[{"value":"2024-02-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}