{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T05:48:40Z","timestamp":1766382520025,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key Research & Development Program of China","award":["No. 2018YFB0204300"],"award-info":[{"award-number":["No. 2018YFB0204300"]}]},{"name":"National Natural Science Foundation of China","award":["No. 61932001","No. 62025208"],"award-info":[{"award-number":["No. 61932001","No. 62025208"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,26]]},"DOI":"10.1145\/3459637.3482280","type":"proceedings-article","created":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T18:33:14Z","timestamp":1635618794000},"page":"649-658","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Multi-view Interaction Learning for Few-Shot Relation Classification"],"prefix":"10.1145","author":[{"given":"Yi","family":"Han","sequence":"first","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linbo","family":"Qiao","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianming","family":"Zheng","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigang","family":"Kan","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linhui","family":"Feng","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifu","family":"Gao","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Tang","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Zhai","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongsheng","family":"Li","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangke","family":"Liao","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"crossref","unstructured":"Antreas Antoniou Amos J. Storkey and Harrison Edwards. 2018. Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks. In Artificial Neural Networks and Machine Learning. 594--603.  Antreas Antoniou Amos J. Storkey and Harrison Edwards. 2018. Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks. In Artificial Neural Networks and Machine Learning. 594--603.","DOI":"10.1007\/978-3-030-01424-7_58"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157096.3157155"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00429"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00888"},{"key":"e_1_3_2_2_5_1","volume-title":"Proceedings of the 2019 Conference of the North America Chapter of the Association for Computational Linguistics. 4171--4186","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North America Chapter of the Association for Computational Linguistics. 4171--4186 . Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North America Chapter of the Association for Computational Linguistics. 4171--4186."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.355"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/946247.946776"},{"volume-title":"Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction (Knowledge Science, Engineering and Management)","author":"Feng Linhui","key":"e_1_3_2_2_8_1","unstructured":"Linhui Feng , Linbo Qiao , Yi Han , Zhigang Kan , Yifu Gao , and Dongsheng Li. 2021. Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction (Knowledge Science, Engineering and Management) . Springer Interna- tional Publishing , 75--87. Linhui Feng, Linbo Qiao, Yi Han, Zhigang Kan, Yifu Gao, and Dongsheng Li. 2021. Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction (Knowledge Science, Engineering and Management). Springer Interna- tional Publishing, 75--87."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/2976040.2976097"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305498"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016407"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1649"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00459"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1205"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1514"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3454647"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/JCC49151.2020.00024"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00010"},{"key":"e_1_3_2_2_19_1","unstructured":"Gregory Koch Richard Zemel and Ruslan Salakhutdinov. 2015. Siamese neural networks for one-shot image recognition. In ICML deep learning workshop.  Gregory Koch Richard Zemel and Ruslan Salakhutdinov. 2015. Siamese neural networks for one-shot image recognition. In ICML deep learning workshop."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.16"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/2999792.2999894"},{"key":"e_1_3_2_2_23_1","volume-title":"International Conference on Machine Learning. 3825--3834","author":"Li Huai-Yu","year":"2019","unstructured":"Huai-Yu Li , Weiming Dong , Xing Mei , Chongyang Ma , Feiyue Huang , and Bao-Gang Hu . 2019 . LGM-Net: Learning to Generate Matching Networks for Few- Shot Learning . In International Conference on Machine Learning. 3825--3834 . Huai-Yu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, and Bao-Gang Hu. 2019. LGM-Net: Learning to Generate Matching Networks for Few- Shot Learning. In International Conference on Machine Learning. 3825--3834."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2000.855856"},{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 7229--7238","author":"Qiao Siyuan","key":"e_1_3_2_2_25_1","unstructured":"Siyuan Qiao , Chenxi Liu , Wei Shen , and Alan L. Yuille . 2018. Few-Shot Image Recognition by Predicting Parameters From Activations . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 7229--7238 . Siyuan Qiao, Chenxi Liu, Wei Shen, and Alan L. Yuille. 2018. Few-Shot Image Recognition by Predicting Parameters From Activations. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 7229--7238."},{"key":"e_1_3_2_2_26_1","volume-title":"CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. In International Conference on Learning Representations.","author":"Qu Yanru","year":"2021","unstructured":"Yanru Qu , Dinghan Shen , Yelong Shen , Sandra Sajeev , Weizhu Chen , and Jiawei Han . 2021 . CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. In International Conference on Learning Representations. Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, and Jiawei Han. 2021. CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_27_1","volume-title":"International Conference on Learning Representations.","author":"Ravi Sachin","year":"2017","unstructured":"Sachin Ravi and Hugo Larochelle . 2017 . Optimization as a Model for Few-Shot Learning . In International Conference on Learning Representations. Sachin Ravi and Hugo Larochelle. 2017. Optimization as a Model for Few-Shot Learning. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/3045796.3045815"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327144.3327208"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1279"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1045"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540053"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540053"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295349"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157382.3157504"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.510"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_37"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3454723"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1522"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1277"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.5555\/1888150.1888161"},{"key":"e_1_3_2_2_44_1","volume-title":"Proceedings of COLING 2014, the 25th international conference on computational linguistics: technical papers. 2335--2344","author":"Zeng Daojian","year":"2014","unstructured":"Daojian Zeng , Kang Liu , Siwei Lai , Guangyou Zhou , and Jun Zhao . 2014 . Relation classification via convolutional deep neural network . In Proceedings of COLING 2014, the 25th international conference on computational linguistics: technical papers. 2335--2344 . Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao. 2014. Relation classification via convolutional deep neural network. In Proceedings of COLING 2014, the 25th international conference on computational linguistics: technical papers. 2335--2344."},{"volume-title":"CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network (Advances in Knowledge Discovery and Data Mining)","author":"Zhai Qi","key":"e_1_3_2_2_45_1","unstructured":"Qi Zhai , Zhigang Kan , Sen Yang , Linbo Qiao , Feng Liu , and Dongsheng Li. 2021. CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network (Advances in Knowledge Discovery and Data Mining) . Springer International Publishing , 295--307. Qi Zhai, Zhigang Kan, Sen Yang, Linbo Qiao, Feng Liu, and Dongsheng Li. 2021. CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network (Advances in Knowledge Discovery and Data Mining). Springer International Publishing, 295--307."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219893"}],"event":{"name":"CIKM '21: The 30th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Queensland Australia","acronym":"CIKM '21"},"container-title":["Proceedings of the 30th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482280","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459637.3482280","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:13Z","timestamp":1750191133000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482280"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,26]]},"references-count":46,"alternative-id":["10.1145\/3459637.3482280","10.1145\/3459637"],"URL":"https:\/\/doi.org\/10.1145\/3459637.3482280","relation":{},"subject":[],"published":{"date-parts":[[2021,10,26]]},"assertion":[{"value":"2021-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}