{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T08:42:35Z","timestamp":1759826555454,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T00:00:00Z","timestamp":1642204800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100015247","name":"State Grid Shandong Electric Power Company","doi-asserted-by":"publisher","award":["2020A?074"],"award-info":[{"award-number":["2020A?074"]}],"id":[{"id":"10.13039\/501100015247","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,1,15]]},"DOI":"10.1145\/3523150.3523175","type":"proceedings-article","created":{"date-parts":[[2022,4,13]],"date-time":"2022-04-13T21:39:55Z","timestamp":1649885995000},"page":"160-166","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Graph Convolution Word Embedding and Attention for Text Classification\u2217"],"prefix":"10.1145","author":[{"given":"Yi","family":"Yang","sequence":"first","affiliation":[{"name":"State Grid Shandong Electric Power Company, China"}]},{"given":"Qihui","family":"Cui","sequence":"additional","affiliation":[{"name":"State Grid Shandong Electric Power Company, China"}]},{"given":"Lijun","family":"Ji","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, China"}]},{"given":"Zhuoran","family":"Cheng","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, China"}]}],"member":"320","published-online":{"date-parts":[[2022,4,13]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"73","volume-title":"Baselines and Bigrams: Simple, Good Sentiment and Topic Classification[C]\/\/ Meeting of the Association for Computational Linguistics: Short Papers","author":"Wang S","year":"2012","unstructured":"Wang S , Manning C D . Baselines and Bigrams: Simple, Good Sentiment and Topic Classification[C]\/\/ Meeting of the Association for Computational Linguistics: Short Papers . Association for Computational Linguistics , 2012 .J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3 rd ed., vol. 2 . Oxford : Clarendon , 1892, pp.68\u2013 73 . Wang S , Manning C D . Baselines and Bigrams: Simple, Good Sentiment and Topic Classification[C]\/\/ Meeting of the Association for Computational Linguistics: Short Papers. Association for Computational Linguistics, 2012.J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68\u201373.","edition":"3"},{"issue":"1","key":"e_1_3_2_1_2_1","first-page":"2493","volume":"12","author":"Collobert R","year":"2011","unstructured":"Collobert R , Weston J , Bottou , L\u00e9on, Natural Language Processing (almost) from Scratch[J]. Journal of Machine Learning Research , 2011 , 12 ( 1 ): 2493 - 2537 . Collobert R , Weston J , Bottou, L\u00e9on, Natural Language Processing (almost) from Scratch[J]. Journal of Machine Learning Research, 2011, 12(1):2493-2537.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Peng H Li J He Y Large-scale hierarchical text classification with recursively regularized deep graph-cnn[C]\/\/Proceedings of the 2018 World Wide Web Conference. 2018: 1063-1072.  Peng H Li J He Y Large-scale hierarchical text classification with recursively regularized deep graph-cnn[C]\/\/Proceedings of the 2018 World Wide Web Conference. 2018: 1063-1072.","DOI":"10.1145\/3178876.3186005"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1464"},{"key":"e_1_3_2_1_6_1","volume-title":"Graph Convolutional Networks for Text Classification[J]","author":"Yao L","year":"2018","unstructured":"Yao L , Mao C , Luo Y . Graph Convolutional Networks for Text Classification[J] . 2018 . Yao L , Mao C , Luo Y . Graph Convolutional Networks for Text Classification[J]. 2018."},{"key":"e_1_3_2_1_7_1","volume-title":"23rd International Conference on Computational Linguistics, Proceedings of the Conference","author":"Qu L","year":"2010","unstructured":"Qu L , Ifrim G , Weikum G. The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns[C]\/\/ COLING 2010 , 23rd International Conference on Computational Linguistics, Proceedings of the Conference , 23-27 August 2010 , Beijing, China. DBLP , 2010. Qu L, Ifrim G, Weikum G. The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns[C]\/\/ COLING 2010, 23rd International Conference on Computational Linguistics, Proceedings of the Conference, 23-27 August 2010, Beijing, China. DBLP, 2010."},{"key":"e_1_3_2_1_8_1","volume-title":"Semi-Supervised Classification with Graph Convolutional Networks[J]","author":"Kipf T N","year":"2016","unstructured":"Kipf T N , Welling M. Semi-Supervised Classification with Graph Convolutional Networks[J] . 2016 . Kipf T N, Welling M. Semi-Supervised Classification with Graph Convolutional Networks[J]. 2016."},{"key":"e_1_3_2_1_9_1","volume-title":"Baselines and Bigrams: Simple, Good Sentiment and Topic Classification[C]\/\/ Meeting of the Association for Computational Linguistics: Short Papers","author":"Wang S","year":"2012","unstructured":"Wang S , Manning C D . Baselines and Bigrams: Simple, Good Sentiment and Topic Classification[C]\/\/ Meeting of the Association for Computational Linguistics: Short Papers . Association for Computational Linguistics , 2012 . Wang S , Manning C D . Baselines and Bigrams: Simple, Good Sentiment and Topic Classification[C]\/\/ Meeting of the Association for Computational Linguistics: Short Papers. Association for Computational Linguistics, 2012."},{"key":"e_1_3_2_1_10_1","volume-title":"Briefings in Bioinformatics","author":"Luo Y","year":"2016","unstructured":"Luo Y , \u00d6zlem Uzuner , Szolovits P. Bridging semantics and syntax with graph algorithms\u2014state-of-the-art of extracting biomedical relations[J] . Briefings in Bioinformatics , 2016 . Luo Y, \u00d6zlem Uzuner, Szolovits P. Bridging semantics and syntax with graph algorithms\u2014state-of-the-art of extracting biomedical relations[J]. Briefings in Bioinformatics, 2016."},{"issue":"5","key":"e_1_3_2_1_11_1","first-page":"824","volume":"2014","author":"Yuan L","unstructured":"Yuan L , Sohani A R , Hochberg E P , Automatic lymphoma classification with sentence subgraph mining from pathology reports[J]. Journal of the American Medical Informatics Association Jamia , 2014 ( 5 ): 824 . Yuan L, Sohani A R, Hochberg E P, Automatic lymphoma classification with sentence subgraph mining from pathology reports[J]. Journal of the American Medical Informatics Association Jamia, 2014(5):824.","journal-title":"Journal of the American Medical Informatics Association Jamia"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"e_1_3_2_1_13_1","volume-title":"Very Deep Convolutional Networks for Natural Language Processing. KI - K\u00fcnstliche Intelligenz.. 26","author":"Conneau","year":"2016","unstructured":"Conneau , Alexis & Schwenk, Holger & Barrault, Lo\u00efc & Lecun, Yann . ( 2016 ). Very Deep Convolutional Networks for Natural Language Processing. KI - K\u00fcnstliche Intelligenz.. 26 . Conneau, Alexis & Schwenk, Holger & Barrault, Lo\u00efc & Lecun, Yann. (2016). Very Deep Convolutional Networks for Natural Language Processing. KI - K\u00fcnstliche Intelligenz.. 26."},{"key":"e_1_3_2_1_14_1","volume-title":"Character-level Convolutional Networks for Text Classification[C]\/\/ Neural Information Processing Systems","author":"Zhang X","year":"2015","unstructured":"Zhang X , Zhao J , Lecun Y. Character-level Convolutional Networks for Text Classification[C]\/\/ Neural Information Processing Systems . MIT Press , 2015 . Zhang X, Zhao J, Lecun Y. Character-level Convolutional Networks for Text Classification[C]\/\/ Neural Information Processing Systems. MIT Press, 2015."},{"key":"e_1_3_2_1_15_1","volume-title":"Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level[J]. arXiv e-prints","author":"Johnson R","year":"2016","unstructured":"Johnson R , Zhang T. Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level[J]. arXiv e-prints , 2016 . Johnson R, Zhang T. Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level[J]. arXiv e-prints, 2016."},{"key":"e_1_3_2_1_16_1","volume-title":"Document modeling with gated recurrent neural network for sentiment classification[C]\/\/ Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","author":"Tang D","year":"2015","unstructured":"Tang D , Qin B , Liu T. Document modeling with gated recurrent neural network for sentiment classification[C]\/\/ Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing . 2015 . Tang D, Qin B, Liu T. Document modeling with gated recurrent neural network for sentiment classification[C]\/\/ Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 2015."},{"key":"e_1_3_2_1_17_1","volume-title":"Deep Pyramid Convolutional Neural Networks for Text Categorization[C]\/\/ Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Johnson R","year":"2017","unstructured":"Johnson R , Zhang T. Deep Pyramid Convolutional Neural Networks for Text Categorization[C]\/\/ Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 2017 . Johnson R , Zhang T. Deep Pyramid Convolutional Neural Networks for Text Categorization[C]\/\/ Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2017."},{"key":"e_1_3_2_1_18_1","volume-title":"Hierarchical Attention Networks for Document Classification[C]\/\/ Conference of the North American","author":"Yang Z","year":"2017","unstructured":"Yang Z , Yang D , Dyer C , Hierarchical Attention Networks for Document Classification[C]\/\/ Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2017 . Yang Z , Yang D , Dyer C , Hierarchical Attention Networks for Document Classification[C]\/\/ Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2017."},{"key":"e_1_3_2_1_19_1","volume-title":"Manning C . Glove: Global Vectors for Word Representation[C]\/\/ Conference on Empirical Methods in Natural Language Processing","author":"Pennington J","year":"2014","unstructured":"Pennington J , Socher R , Manning C . Glove: Global Vectors for Word Representation[C]\/\/ Conference on Empirical Methods in Natural Language Processing . 2014 . Pennington J , Socher R , Manning C . Glove: Global Vectors for Word Representation[C]\/\/ Conference on Empirical Methods in Natural Language Processing. 2014."},{"key":"e_1_3_2_1_20_1","volume-title":"Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. 10.18653\/v1\/P18-1041","author":"Shen","year":"2018","unstructured":"Shen , Dinghan & Wang, Guoyin & Wang, Wenlin & Renqiang, Martin & Su, Qinliang & Zhang, Yizhe & Li, Chunyuan & Henao, Ricardo & Carin, Lawrence . ( 2018 ). Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. 10.18653\/v1\/P18-1041 . Shen, Dinghan & Wang, Guoyin & Wang, Wenlin & Renqiang, Martin & Su, Qinliang & Zhang, Yizhe & Li, Chunyuan & Henao, Ricardo & Carin, Lawrence. (2018). Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. 10.18653\/v1\/P18-1041."},{"key":"e_1_3_2_1_21_1","volume-title":"A Neural Probabilistic Language Model.[J]. Journal of Machine Learning Research","author":"Bengio","year":"2003","unstructured":"Bengio , Yoshua, Ducharme , A Neural Probabilistic Language Model.[J]. Journal of Machine Learning Research , 2003 . Bengio, Yoshua, Ducharme, A Neural Probabilistic Language Model.[J]. Journal of Machine Learning Research, 2003."},{"key":"e_1_3_2_1_22_1","volume-title":"Distributed Representations of Words and Phrases and their Compositionality. Advances in Neural Information Processing Systems. 26","author":"Mikolov","year":"2013","unstructured":"Mikolov , Tomas & Sutskever, Ilya & Chen, Kai & Corrado, G.s & Dean , Jeffrey. ( 2013 ). Distributed Representations of Words and Phrases and their Compositionality. Advances in Neural Information Processing Systems. 26 . Mikolov, Tomas & Sutskever, Ilya & Chen, Kai & Corrado, G.s & Dean, Jeffrey. (2013). Distributed Representations of Words and Phrases and their Compositionality. Advances in Neural Information Processing Systems. 26."},{"key":"e_1_3_2_1_23_1","volume-title":"Manning C . Glove: Global Vectors for Word Representation[C]\/\/ Conference on Empirical Methods in Natural Language Processing","author":"Pennington J","year":"2014","unstructured":"Pennington J , Socher R , Manning C . Glove: Global Vectors for Word Representation[C]\/\/ Conference on Empirical Methods in Natural Language Processing . 2014 . Pennington J , Socher R , Manning C . Glove: Global Vectors for Word Representation[C]\/\/ Conference on Empirical Methods in Natural Language Processing. 2014."},{"key":"e_1_3_2_1_24_1","volume-title":"Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling[C]\/\/ Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing","author":"Marcheggiani D","year":"2017","unstructured":"Marcheggiani D , Titov I . Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling[C]\/\/ Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . 2017 . Marcheggiani D , Titov I . Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling[C]\/\/ Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. 2017."},{"key":"e_1_3_2_1_25_1","volume-title":"Prayaga S S","author":"Vashishth S","year":"2018","unstructured":"Vashishth S , Joshi R , Prayaga S S , RESIDE : Improving Distantly-Supervised Neural Relation Extraction using Side Information[C]\/\/ Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . 2018. Vashishth S , Joshi R , Prayaga S S , RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information[C]\/\/ Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_27_1","volume-title":"Mei Q . PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks[J]","author":"Tang J","year":"2015","unstructured":"Tang J , Qu M , Mei Q . PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks[J] . 2015 . Tang J , Qu M , Mei Q . PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks[J]. 2015."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.3115\/1072228.1072378"},{"key":"e_1_3_2_1_29_1","volume-title":"Mei Q . PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks[J]","author":"Tang J","year":"2015","unstructured":"Tang J , Qu M , Mei Q . PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks[J] . 2015 . Tang J , Qu M , Mei Q . PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks[J]. 2015."},{"key":"e_1_3_2_1_30_1","volume-title":"Deep Pyramid Convolutional Neural Networks for Text Categorization[C]\/\/ Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Johnson R","year":"2017","unstructured":"Johnson R , Zhang T . Deep Pyramid Convolutional Neural Networks for Text Categorization[C]\/\/ Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 2017 . Johnson R , Zhang T . Deep Pyramid Convolutional Neural Networks for Text Categorization[C]\/\/ Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2017."},{"key":"e_1_3_2_1_31_1","volume-title":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).","author":"Zhou P","year":"2016","unstructured":"Zhou P , Shi W , Tian J , 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 . Zhou P , Shi W , Tian J , 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."},{"key":"e_1_3_2_1_32_1","volume-title":"Recurrent Neural Network for Text Classification with Multi-Task Learning[J]","author":"Liu P","year":"2016","unstructured":"Liu P , Qiu X , Huang X . Recurrent Neural Network for Text Classification with Multi-Task Learning[J] . 2016 . Liu P , Qiu X , Huang X . Recurrent Neural Network for Text Classification with Multi-Task Learning[J]. 2016."}],"event":{"name":"ICMLSC 2022: 2022 The 6th International Conference on Machine Learning and Soft Computing","acronym":"ICMLSC 2022","location":"Haikou China"},"container-title":["2022 The 6th International Conference on Machine Learning and Soft Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523150.3523175","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3523150.3523175","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:44Z","timestamp":1750188644000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523150.3523175"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,15]]},"references-count":32,"alternative-id":["10.1145\/3523150.3523175","10.1145\/3523150"],"URL":"https:\/\/doi.org\/10.1145\/3523150.3523175","relation":{},"subject":[],"published":{"date-parts":[[2022,1,15]]},"assertion":[{"value":"2022-04-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}