{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:28Z","timestamp":1750220008793,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":69,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"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":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557561","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:22:22Z","timestamp":1665883342000},"page":"4193-4198","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["CNewsTS - A Large-scale Chinese News Dataset with Hierarchical Topic Category and Summary"],"prefix":"10.1145","author":[{"given":"Quanzhi","family":"Li","sequence":"first","affiliation":[{"name":"Tencent, Bellevue, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingchi","family":"Liu","sequence":"additional","affiliation":[{"name":"Yohana, Palo Alto, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Chao","sequence":"additional","affiliation":[{"name":"Tencent, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"20Newsgroups 2018. http:\/\/qwone.com\/~jason\/20Newsgroups\/  20Newsgroups 2018. http:\/\/qwone.com\/~jason\/20Newsgroups\/"},{"key":"e_1_3_2_1_2_1","volume-title":"A large annotated corpus for learning natural language inference,\" arXiv preprint arXiv:1508.05326","author":"Bowman S. R.","year":"2015","unstructured":"S. R. Bowman , G. Angeli , C. Potts , and C. D. Manning , '' A large annotated corpus for learning natural language inference,\" arXiv preprint arXiv:1508.05326 , 2015 . S. R. Bowman, G. Angeli, C. Potts, and C. D. Manning, ''A large annotated corpus for learning natural language inference,\" arXiv preprint arXiv:1508.05326, 2015."},{"key":"e_1_3_2_1_3_1","volume-title":"C\u00e9lia Nunes","author":"Campos Ricardo","year":"2018","unstructured":"Ricardo Campos , V\u00edtor Mangaravite , Arian Pasquali , Al\u00edpio M\u00e1rio Jorge , C\u00e9lia Nunes , and Adam Jatowt, 2018 . YAKE! Collection-Independent Automatic Keyword Extractor, ECIR Ricardo Campos, V\u00edtor Mangaravite, Arian Pasquali, Al\u00edpio M\u00e1rio Jorge, C\u00e9lia Nunes, and Adam Jatowt, 2018. YAKE! Collection-Independent Automatic Keyword Extractor, ECIR"},{"key":"e_1_3_2_1_4_1","unstructured":"CNewsCorpus 2017. Chinese news classification dataset. http:\/\/download.cnblogs.com\/finallyliuyu\/corpus.rar  CNewsCorpus 2017. Chinese news classification dataset. http:\/\/download.cnblogs.com\/finallyliuyu\/corpus.rar"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"e_1_3_2_1_6_1","volume-title":"Mpqa 3.0: An entity\/event-level sentiment corpus,\" in Proceedings of the 2015 conference of the North American","author":"Deng L.","year":"2015","unstructured":"L. Deng and J. Wiebe , '' Mpqa 3.0: An entity\/event-level sentiment corpus,\" in Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: human language technologies, 2015 L. Deng and J. Wiebe, ''Mpqa 3.0: An entity\/event-level sentiment corpus,\" in Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: human language technologies, 2015"},{"key":"e_1_3_2_1_7_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. NAACL-HLT.","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. NAACL-HLT. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. Bert: Pre-training of deep bidirectional transformers for language understanding. NAACL-HLT."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220406"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017","author":"Caragea C.","year":"2017","unstructured":"Florescu, C. and Caragea , C . ( 2017 ) A new scheme for scoring phrases in unsupervised keyphrase extraction . In Proceedings of the Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017 Florescu, C. and Caragea, C. (2017) A new scheme for scoring phrases in unsupervised keyphrase extraction. In Proceedings of the Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-8617"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016399"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1388"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Siddharth Gopal and Yiming Yang. 2013. Recursive regularization for large-scale classification with hierarchical and graphical dependencies. KDD.  Siddharth Gopal and Yiming Yang. 2013. Recursive regularization for large-scale classification with hierarchical and graphical dependencies. KDD.","DOI":"10.1145\/2487575.2487644"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Siddharth Gopal and Yiming Yang. 2015. Hierarchical Bayesian inference and recursive regularization for large-scale classification. ACM Transactions on Knowledge Discovery from Data (TKDD)  Siddharth Gopal and Yiming Yang. 2015. Hierarchical Bayesian inference and recursive regularization for large-scale classification. ACM Transactions on Knowledge Discovery from Data (TKDD)","DOI":"10.1145\/2629585"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1065"},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014","author":"Ng K.","year":"2014","unstructured":"Hasan, K. S. and Ng , V . ( 2014 ) Automatic keyphrase extraction: A survey of the state of the art . In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 Hasan, K. S. and Ng, V. (2014) Automatic keyphrase extraction: A survey of the state of the art. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014"},{"key":"e_1_3_2_1_17_1","volume-title":"Proc. of NeurIPS","author":"Hermann Karl Moritz","year":"2015","unstructured":"Karl Moritz Hermann , Tom\u00b4as Kocisk\u00b4y , Edward Grefenstette , Lasse Espeholt , Will Kay , Mustafa Suleyman , and Phil Blunsom . Teaching machines to read and comprehend . Proc. of NeurIPS 2015 . Karl Moritz Hermann, Tom\u00b4as Kocisk\u00b4y, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. Teaching machines to read and comprehend. Proc. of NeurIPS 2015."},{"key":"e_1_3_2_1_18_1","volume-title":"Universal language model fine-tuning for text classification,\" arXiv preprint arXiv:1801.06146","author":"Howard J.","year":"2018","unstructured":"J. Howard and S. Ruder , '' Universal language model fine-tuning for text classification,\" arXiv preprint arXiv:1801.06146 , 2018 J. Howard and S. Ruder, ''Universal language model fine-tuning for text classification,\" arXiv preprint arXiv:1801.06146, 2018"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1229"},{"key":"e_1_3_2_1_20_1","first-page":"942","volume-title":"Proc. of NLPCC","author":"Hua Lifeng","year":"2017","unstructured":"Lifeng Hua , Xiaojun Wan , and Lei Li . Overview of the nlpcc 2017 shared task: single document summarization . In Proc. of NLPCC , pages 942 -- 947 . Springer , 2017 . Lifeng Hua, Xiaojun Wan, and Lei Li. Overview of the nlpcc 2017 shared task: single document summarization. In Proc. of NLPCC, pages 942--947. Springer, 2017."},{"key":"e_1_3_2_1_21_1","first-page":"609","volume-title":"Proc. Of AACL","author":"Huang Kuan-Hao","year":"2020","unstructured":"Kuan-Hao Huang , Chen Li , and Kai-Wei Chang . Generating sports news from live commentary: A Chinese dataset for sports game summarization . In Proc. Of AACL , pages 609 -- 615 , 2020 Kuan-Hao Huang, Chen Li, and Kai-Wei Chang. Generating sports news from live commentary: A Chinese dataset for sports game summarization. In Proc. Of AACL, pages 609--615, 2020"},{"key":"e_1_3_2_1_22_1","unstructured":"Jieba 2013 https:\/\/github.com\/fxsjy\/jieb  Jieba 2013 https:\/\/github.com\/fxsjy\/jieb"},{"key":"e_1_3_2_1_23_1","volume-title":"zip: Compressing text classification models,\" arXiv preprint arXiv:1612.03651","author":"Grave E.","year":"2016","unstructured":"Joulin, E. Grave , P. Bojanowski , M. Douze , H. J\u00e9gou , and T. Mikolov , ''Fasttext . zip: Compressing text classification models,\" arXiv preprint arXiv:1612.03651 , 2016 Joulin, E. Grave, P. Bojanowski, M. Douze, H. J\u00e9gou, and T. Mikolov, ''Fasttext. zip: Compressing text classification models,\" arXiv preprint arXiv:1612.03651, 2016"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-2074"},{"volume-title":"Hdltex: Hierarchical deep learning for text classification,\" in 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)","author":"Kowsari K.","key":"e_1_3_2_1_25_1","unstructured":"K. Kowsari , D. E. Brown , M. Heidarysafa , K. J. Meimandi , M. S. Gerber , and L. E. Barnes , '' Hdltex: Hierarchical deep learning for text classification,\" in 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) . K. Kowsari, D. E. Brown, M. Heidarysafa, K. J. Meimandi, M. S. Gerber, and L. E. Barnes, ''Hdltex: Hierarchical deep learning for text classification,\" in 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)."},{"key":"e_1_3_2_1_26_1","volume-title":"Auer et al., ''Dbpedia--a large-scale, multilingual knowledge base extracted from wikipedia,\" Semantic Web","author":"Lehmann J.","year":"2015","unstructured":"J. Lehmann , R. Isele , M. Jakob , A. Jentzsch , D. Kontokostas , P. N. Mendes , S. Hellmann , M. Morsey , P. Van Kleef , S. Auer et al., ''Dbpedia--a large-scale, multilingual knowledge base extracted from wikipedia,\" Semantic Web , 2015 . J. Lehmann, R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas, P. N. Mendes, S. Hellmann, M. Morsey, P. Van Kleef, S. Auer et al., ''Dbpedia--a large-scale, multilingual knowledge base extracted from wikipedia,\" Semantic Web, 2015."},{"key":"e_1_3_2_1_27_1","first-page":"361","article-title":"RCV1: A new benchmark collection for text categorization research","author":"Lewis David D","year":"2004","unstructured":"David D Lewis , Yiming Yang , Tony G Rose , and Fan Li . 2004 . RCV1: A new benchmark collection for text categorization research . Journal of Machine Learning Research 5 , Apr (2004), 361 -- 397 . David D Lewis, Yiming Yang, Tony G Rose, and Fan Li. 2004. RCV1: A new benchmark collection for text categorization research. Journal of Machine Learning Research 5, Apr (2004), 361--397.","journal-title":"Journal of Machine Learning Research 5"},{"key":"e_1_3_2_1_28_1","volume-title":"Text Summarization Branches Out","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin . Rouge : A package for automatic evaluation of summarie1 . Text Summarization Branches Out , 2004 Chin-Yew Lin. Rouge: A package for automatic evaluation of summarie1. Text Summarization Branches Out, 2004"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60450-9_42"},{"volume-title":"EMNLP","author":"Liu Yang","key":"e_1_3_2_1_30_1","unstructured":"Yang Liu and Mirella Lapata , 2019 , Text Summarization with Pretrained Encoders , EMNLP Yang Liu and Mirella Lapata, 2019, Text Summarization with Pretrained Encoders, EMNLP"},{"key":"e_1_3_2_1_31_1","unstructured":"Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov 2019 RoBERTa: A Robustly Optimized BERT Pretraining Approach https:\/\/arxiv.org\/abs\/1907.1169  Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov 2019 RoBERTa: A Robustly Optimized BERT Pretraining Approach https:\/\/arxiv.org\/abs\/1907.1169"},{"volume-title":"a survey of web tools for searching biomedical literature,\" Database","author":"Lu Z.","key":"e_1_3_2_1_32_1","unstructured":"Z. Lu , '' Pubmed and beyond : a survey of web tools for searching biomedical literature,\" Database , vol. 2011 Z. Lu, ''Pubmed and beyond: a survey of web tools for searching biomedical literature,\" Database, vol. 2011"},{"key":"e_1_3_2_1_33_1","first-page":"50","volume-title":"Efficient pairwise multilabel classification for large-scale problems in the legal domain,\" in Joint European Conference on Machine Learning and Knowledge Discovery in Databases","author":"Mencia E. L.","year":"2008","unstructured":"E. L. Mencia and J. Furnkranz , '' Efficient pairwise multilabel classification for large-scale problems in the legal domain,\" in Joint European Conference on Machine Learning and Knowledge Discovery in Databases . Springer , 2008 , pp. 50 -- 65 E. L. Mencia and J. Furnkranz, ''Efficient pairwise multilabel classification for large-scale problems in the legal domain,\" in Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 2008, pp. 50--65"},{"volume-title":"EMNLP","author":"Mihalcea Rada","key":"e_1_3_2_1_34_1","unstructured":"Rada Mihalcea and Paul Tarau , 2004. TextRank: Bringing Order into Texts , EMNLP Rada Mihalcea and Paul Tarau, 2004. TextRank: Bringing Order into Texts, EMNLP"},{"key":"e_1_3_2_1_35_1","unstructured":"Shervin Minaee Nal Kalchbrenner Erik Cambria Narjes Nikzad Meysam Chenaghlu Jianfeng Gao 2021 Deep Learning Based Text Classification: A Comprehensive Review https:\/\/arxiv.org\/abs\/2004.03705  Shervin Minaee Nal Kalchbrenner Erik Cambria Narjes Nikzad Meysam Chenaghlu Jianfeng Gao 2021 Deep Learning Based Text Classification: A Comprehensive Review https:\/\/arxiv.org\/abs\/2004.03705"},{"key":"e_1_3_2_1_36_1","volume-title":"Zhou","author":"J.","year":"2002","unstructured":"Mu, F., Yu, Z., Wang, L., Wang, Y., Yin, Q., Sun, Y., Liu, L., Ma, T., Tang, J. , Zhou , X. : Keyphrase extraction with span-based feature representations. arXiv preprint arXiv: 2002 .05407 (2020) Mu, F., Yu, Z., Wang, L., Wang, Y., Yin, Q., Sun, Y., Liu, L., Ma, T., Tang, J., Zhou, X.: Keyphrase extraction with span-based feature representations. arXiv preprint arXiv:2002.05407 (2020)"},{"key":"e_1_3_2_1_37_1","volume-title":"Proc. of AAAI","author":"Nallapati Ramesh","year":"2017","unstructured":"Ramesh Nallapati , Feifei Zhai , and Bowen Zhou . Summarunner : A recurrent neural network based sequencemodel for extractive summarization of documents. In Satinder P. Singh and Shaul Markovitch, editors , Proc. of AAAI , 2017 . Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. Summarunner: A recurrent neural network based sequencemodel for extractive summarization of documents. In Satinder P. Singh and Shaul Markovitch, editors, Proc. of AAAI, 2017."},{"key":"e_1_3_2_1_38_1","volume-title":"Ms marco: a human-generated machine reading comprehension dataset","author":"Nguyen T.","year":"2016","unstructured":"T. Nguyen , M. Rosenberg , X. Song , J. Gao , S. Tiwary , R. Majumder , and L. Deng , '' Ms marco: a human-generated machine reading comprehension dataset ,\" 2016 . T. Nguyen, M. Rosenberg, X. Song, J. Gao, S. Tiwary, R. Majumder, and L. Deng, ''Ms marco: a human-generated machine reading comprehension dataset,\" 2016."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"e_1_3_2_1_40_1","unstructured":"Eirini Papagiannopoulou Grigorios Tsoumakas 2019. A Review of Keyphrase Extraction https:\/\/arxiv.org\/abs\/1905.05044  Eirini Papagiannopoulou Grigorios Tsoumakas 2019. A Review of Keyphrase Extraction https:\/\/arxiv.org\/abs\/1905.05044"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Hao Peng Jianxin Li Yu He Yaopeng Liu Mengjiao Bao Lihong Wang Yangqiu Song and Qiang Yang 2018 Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN WWW  Hao Peng Jianxin Li Yu He Yaopeng Liu Mengjiao Bao Lihong Wang Yangqiu Song and Qiang Yang 2018 Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN WWW","DOI":"10.1145\/3178876.3186005"},{"key":"e_1_3_2_1_42_1","volume-title":"Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization, NLPCC 2017","author":"Qiu Xipeng","year":"2017","unstructured":"Xipeng Qiu , Jingjing Gong , Xuanjing Huang , 2017 , Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization, NLPCC 2017 Xipeng Qiu, Jingjing Gong, Xuanjing Huang, 2017, Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization, NLPCC 2017"},{"key":"e_1_3_2_1_43_1","volume-title":"Squad: 100,000+ questions for machine comprehension of text,\" arXiv preprint arXiv:1606.05250","author":"Rajpurkar P.","year":"2016","unstructured":"P. Rajpurkar , J. Zhang , K. Lopyrev , and P. Liang , '' Squad: 100,000+ questions for machine comprehension of text,\" arXiv preprint arXiv:1606.05250 , 2016 . P. Rajpurkar, J. Zhang, K. Lopyrev, and P. Liang, ''Squad: 100,000+ questions for machine comprehension of text,\" arXiv preprint arXiv:1606.05250, 2016."},{"key":"e_1_3_2_1_44_1","unstructured":"Reuters-21578 Text Categorization Collection 1999. http:\/\/kdd.ics.uci.edu\/databases\/reuters21578\/reuters21578.html  Reuters-21578 Text Categorization Collection 1999. http:\/\/kdd.ics.uci.edu\/databases\/reuters21578\/reuters21578.html"},{"key":"e_1_3_2_1_45_1","volume-title":"Mathematical Statistics and Data Analysis","author":"Rice John A.","unstructured":"John A. Rice . 2006. Mathematical Statistics and Data Analysis ( 3 rd ed.). Duxbury Advanced John A. Rice. 2006. Mathematical Statistics and Data Analysis (3rd ed.). Duxbury Advanced","edition":"3"},{"key":"e_1_3_2_1_46_1","volume-title":"The New York Times Annotated Corpus LDC2008T19","author":"Sandhaus Evan","year":"2008","unstructured":"Evan Sandhaus . 2008 . The New York Times Annotated Corpus LDC2008T19 . In Linguistic Data Consortium. -- Nytimes Evan Sandhaus. 2008. The New York Times Annotated Corpus LDC2008T19. In Linguistic Data Consortium. -- Nytimes"},{"key":"e_1_3_2_1_47_1","volume-title":"Proc. of ACL","author":"Liu Peter J.","year":"2017","unstructured":"Abigail See, Peter J. Liu , and Christopher D. Manning . Get to the point: Summarization with pointer-generator networks . In Proc. of ACL , 2017 . Abigail See, Peter J. Liu, and Christopher D. Manning. Get to the point: Summarization with pointer-generator networks. In Proc. of ACL, 2017."},{"key":"e_1_3_2_1_48_1","first-page":"1631","volume-title":"Recursive deep models for semantic compositionality over a sentiment treebank,\" in Proceedings of the 2013 conference on empirical methods in natural language processing","author":"Socher R.","year":"2013","unstructured":"R. Socher , A. Perelygin , J. Wu , J. Chuang , C. D. Manning , A. Y. Ng , and C. Potts , '' Recursive deep models for semantic compositionality over a sentiment treebank,\" in Proceedings of the 2013 conference on empirical methods in natural language processing , 2013 , pp. 1631 -- 1642 . R. Socher, A. Perelygin, J. Wu, J. Chuang, C. D. Manning, A. Y. Ng, and C. Potts, ''Recursive deep models for semantic compositionality over a sentiment treebank,\" in Proceedings of the 2013 conference on empirical methods in natural language processing, 2013, pp. 1631--1642."},{"key":"e_1_3_2_1_49_1","first-page":"194","volume-title":"How to fine-tune bert for text classification?\" in China National Conference on Chinese Computational Linguistics","author":"Sun C.","year":"2019","unstructured":"C. Sun , X. Qiu , Y. Xu , and X. Huang , '' How to fine-tune bert for text classification?\" in China National Conference on Chinese Computational Linguistics . Springer , 2019 , pp. 194 -- 206 . C. Sun, X. Qiu, Y. Xu, and X. Huang, ''How to fine-tune bert for text classification?\" in China National Conference on Chinese Computational Linguistics. Springer, 2019, pp. 194--206."},{"key":"e_1_3_2_1_50_1","volume-title":"THUCTC: An Efficient Chinese Text Classifier","author":"Sun Maosong","year":"2016","unstructured":"Maosong Sun , Jingyang Li , Zhipeng Guo , Yu Zhao , Yabin Zheng , Xiance Si , Zhiyuan Liu . 2016 . THUCTC: An Efficient Chinese Text Classifier . http:\/\/thuctc.thunlp.org\/ Maosong Sun, Jingyang Li, Zhipeng Guo, Yu Zhao, Yabin Zheng, Xiance Si, Zhiyuan Liu. 2016. THUCTC: An Efficient Chinese Text Classifier. http:\/\/thuctc.thunlp.org\/"},{"key":"e_1_3_2_1_51_1","unstructured":"Si Sun Zhenghao Liu Chenyan Xiong Zhiyuan Liu and Jie Bao Capturing Global Informativeness in Open Domain Keyphrase Extraction https:\/\/arxiv.org\/abs\/2004.13639  Si Sun Zhenghao Liu Chenyan Xiong Zhiyuan Liu and Jie Bao Capturing Global Informativeness in Open Domain Keyphrase Extraction https:\/\/arxiv.org\/abs\/2004.13639"},{"key":"e_1_3_2_1_52_1","unstructured":"Toutiao 2018. TouTiao Text Classification for News Titles (TNEWS) (CLUE Benchmark) Dataset https:\/\/metatext.io\/datasets\/toutiao-text-classification-for-news-titles-(tnews)-(clue-benchmark  Toutiao 2018. TouTiao Text Classification for News Titles (TNEWS) (CLUE Benchmark) Dataset https:\/\/metatext.io\/datasets\/toutiao-text-classification-for-news-titles-(tnews)-(clue-benchmark"},{"key":"e_1_3_2_1_53_1","article-title":"Large margin methods for structured and interdependent output variables","author":"Tsochantaridis Ioannis","year":"2005","unstructured":"Ioannis Tsochantaridis , Thorsten Joachims , Thomas Hofmann , and Yasemin Altun . 2005 . Large margin methods for structured and interdependent output variables . Journal of Machine Learning Research 6 , Sep (2005) Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, and Yasemin Altun. 2005. Large margin methods for structured and interdependent output variables. Journal of Machine Learning Research 6, Sep (2005)","journal-title":"Journal of Machine Learning Research 6"},{"key":"e_1_3_2_1_54_1","volume-title":"Hao Zhou and Lei Li","author":"Wang Danqing","year":"2021","unstructured":"Danqing Wang , Jiaze Chen , Xianze Wu , Hao Zhou and Lei Li , 2021 , CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level . https:\/\/arxiv.org\/abs\/2110.10874 Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou and Lei Li, 2021, CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level. https:\/\/arxiv.org\/abs\/2110.10874"},{"key":"e_1_3_2_1_55_1","volume-title":"Ju et al","author":"Wolf Thomas","year":"2019","unstructured":"Thomas Wolf , Lysandre Debut , Victor Sanh , Ju et al . 2019 . HuggingFace's Transformers: State-of-the-art Natural Language Processing , https:\/\/arxiv.org\/abs\/1910.03771 Thomas Wolf, Lysandre Debut, Victor Sanh, Ju et al. 2019. HuggingFace's Transformers: State-of-the-art Natural Language Processing, https:\/\/arxiv.org\/abs\/1910.03771"},{"key":"e_1_3_2_1_56_1","volume-title":"Global encoding for long chinese text summarization. ACM Trans. Asian Low-Resource Language Information Process., 19(6)","author":"Xi Xuefeng","year":"2020","unstructured":"Xuefeng Xi , Zhou Pi , and Guodong Zhou . Global encoding for long chinese text summarization. ACM Trans. Asian Low-Resource Language Information Process., 19(6) , 2020 Xuefeng Xi, Zhou Pi, and Guodong Zhou. Global encoding for long chinese text summarization. ACM Trans. Asian Low-Resource Language Information Process., 19(6), 2020"},{"key":"e_1_3_2_1_57_1","volume-title":"CLUE: A Chinese Language Understanding Evaluation Benchmark. https:\/\/arxiv.org\/pdf\/2004.05986.pdf","author":"Xu Liang","year":"2020","unstructured":"Liang Xu , Hai Hu , Xuanwei Zhang , Lu Li , , 2020 . CLUE: A Chinese Language Understanding Evaluation Benchmark. https:\/\/arxiv.org\/pdf\/2004.05986.pdf Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, et al., 2020. CLUE: A Chinese Language Understanding Evaluation Benchmark. https:\/\/arxiv.org\/pdf\/2004.05986.pdf"},{"key":"e_1_3_2_1_58_1","first-page":"649","volume-title":"Character-level convolutional networks for text classification,\" in Advances in neural information processing systems","author":"Zhang X.","year":"2015","unstructured":"X. Zhang , J. Zhao , and Y. LeCun , '' Character-level convolutional networks for text classification,\" in Advances in neural information processing systems , 2015 , pp. 649 -- 657 . X. Zhang, J. Zhao, and Y. LeCun, ''Character-level convolutional networks for text classification,\" in Advances in neural information processing systems, 2015, pp. 649--657."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1061"},{"key":"e_1_3_2_1_60_1","article-title":"Enriching Word Vectors with Subword Information","volume":"5","author":"Grave Piotr","year":"2017","unstructured":"Bojanowski, Piotr and Grave , Edouard and Joulin , Armand and Mikolov , Tomas , 2017 , Enriching Word Vectors with Subword Information , Transactions of the Association for Computational Linguistics , Volume 5 . Bojanowski, Piotr and Grave, Edouard and Joulin, Armand and Mikolov, Tomas, 2017, Enriching Word Vectors with Subword Information, Transactions of the Association for Computational Linguistics, Volume 5.","journal-title":"Transactions of the Association for Computational Linguistics"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1139"},{"key":"e_1_3_2_1_62_1","first-page":"39","article-title":"A review on multi-label learning algorithms","volume":"2013","author":"Zhang Min-Ling","year":"2013","unstructured":"Min-Ling Zhang and Zhi-Hua Zhou , 2013 . A review on multi-label learning algorithms . IEEE Transactions on Knowledge and Data Engineering. https:\/\/doi.org\/10.1109\/TKDE. 2013 . 39 . 10.1109\/TKDE.2013.39 Min-Ling Zhang and Zhi-Hua Zhou, 2013. A review on multi-label learning algorithms. IEEE Transactions on Knowledge and Data Engineering. https:\/\/doi.org\/10.1109\/TKDE.2013.39.","journal-title":"IEEE Transactions on Knowledge and Data Engineering. https:\/\/doi.org\/10.1109\/TKDE."},{"volume-title":"Real-time novel event detection from social media, the IEEE 33rd International Conference on Data Engineering (ICDE 2017)","author":"Li Quanzhi","key":"e_1_3_2_1_63_1","unstructured":"Quanzhi Li , Armineh Nourbakhsh , Sameena Shah , Xiaomo Liu , 2017. Real-time novel event detection from social media, the IEEE 33rd International Conference on Data Engineering (ICDE 2017) Quanzhi Li, Armineh Nourbakhsh, Sameena Shah, Xiaomo Liu, 2017. Real-time novel event detection from social media, the IEEE 33rd International Conference on Data Engineering (ICDE 2017)"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366424.3382678"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i17.17802"},{"volume-title":"Data sets: Word embeddings learned from tweets and general data, the 11th International AAAI Conference on Web and Social Media (ICWSM 2017)","author":"Li Quanzhi","key":"e_1_3_2_1_66_1","unstructured":"Quanzhi Li , Sameena Shah , Xiaomo Liu , Armineh Nourbakhsh , 2017. Data sets: Word embeddings learned from tweets and general data, the 11th International AAAI Conference on Web and Social Media (ICWSM 2017) Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, 2017. Data sets: Word embeddings learned from tweets and general data, the 11th International AAAI Conference on Web and Social Media (ICWSM 2017)"},{"key":"e_1_3_2_1_67_1","volume-title":"Proceedings of the 25th ACM CIKM","author":"Li Quanzhi","year":"2015","unstructured":"Quanzhi Li , Sameena Shah , Xiaomo Liu , Armineh Nourbakhsh , Rui Fang , 2015 . Tweetsift: Tweet topic classification based on entity knowledge base and topic enhanced word embedding , in Proceedings of the 25th ACM CIKM Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang, 2015. Tweetsift: Tweet topic classification based on entity knowledge base and topic enhanced word embedding, in Proceedings of the 25th ACM CIKM"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258082"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.331"}],"event":{"name":"CIKM '22: The 31st 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":"Atlanta GA USA","acronym":"CIKM '22"},"container-title":["Proceedings of the 31st ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557561","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557561","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:09Z","timestamp":1750182669000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557561"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":69,"alternative-id":["10.1145\/3511808.3557561","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557561","relation":{},"subject":[],"published":{"date-parts":[[2022,10,17]]},"assertion":[{"value":"2022-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}