{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T14:59:42Z","timestamp":1773154782250,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T00:00:00Z","timestamp":1679011200000},"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":[[2023,3,17]]},"DOI":"10.1145\/3590003.3590019","type":"proceedings-article","created":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T18:22:56Z","timestamp":1685384576000},"page":"84-89","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Deep Reinforcement Learning with Copy-oriented Context Awareness and Weighted Rewards for Abstractive Summarization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6645-6135","authenticated-orcid":false,"given":"Caidong","family":"Tan","sequence":"first","affiliation":[{"name":"Hefei University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,5,29]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"An actor-critic algorithm for sequence prediction. arXiv preprint arXiv:1607.07086","author":"Bahdanau Dzmitry","year":"2016","unstructured":"Dzmitry Bahdanau , Philemon Brakel , Kelvin Xu , Anirudh Goyal , Ryan Lowe , Joelle Pineau , Aaron Courville , and Yoshua Bengio . 2016. An actor-critic algorithm for sequence prediction. arXiv preprint arXiv:1607.07086 ( 2016 ). Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron Courville, and Yoshua Bengio. 2016. An actor-critic algorithm for sequence prediction. arXiv preprint arXiv:1607.07086 (2016)."},{"key":"e_1_3_2_1_2_1","volume-title":"Scheduled sampling for sequence prediction with recurrent neural networks. Advances in neural information processing systems 28","author":"Bengio Samy","year":"2015","unstructured":"Samy Bengio , Oriol Vinyals , Navdeep Jaitly , and Noam Shazeer . 2015. Scheduled sampling for sequence prediction with recurrent neural networks. Advances in neural information processing systems 28 ( 2015 ). Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_2_1_3_1","volume-title":"A hybrid word-character model for abstractive summarization. arXiv preprint arXiv:1802.09968","author":"Chang C","year":"2018","unstructured":"C Chang , C Huang , and Jane\u00a0Yungjen Hsu . 2018. A hybrid word-character model for abstractive summarization. arXiv preprint arXiv:1802.09968 ( 2018 ). C Chang, C Huang, and Jane\u00a0Yungjen Hsu. 2018. A hybrid word-character model for abstractive summarization. arXiv preprint arXiv:1802.09968 (2018)."},{"key":"e_1_3_2_1_4_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation 9, 8 ( 1997 ), 1735\u20131780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735\u20131780."},{"key":"e_1_3_2_1_5_1","volume-title":"Lcsts: A large scale chinese short text summarization dataset. arXiv preprint arXiv:1506.05865","author":"Hu Baotian","year":"2015","unstructured":"Baotian Hu , Qingcai Chen , and Fangze Zhu . 2015 . Lcsts: A large scale chinese short text summarization dataset. arXiv preprint arXiv:1506.05865 (2015). Baotian Hu, Qingcai Chen, and Fangze Zhu. 2015. Lcsts: A large scale chinese short text summarization dataset. arXiv preprint arXiv:1506.05865 (2015)."},{"key":"e_1_3_2_1_6_1","volume-title":"Knowledge graph-augmented abstractive summarization with semantic-driven cloze reward. arXiv preprint arXiv:2005.01159","author":"Huang Luyang","year":"2020","unstructured":"Luyang Huang , Lingfei Wu , and Lu Wang . 2020. Knowledge graph-augmented abstractive summarization with semantic-driven cloze reward. arXiv preprint arXiv:2005.01159 ( 2020 ). Luyang Huang, Lingfei Wu, and Lu Wang. 2020. Knowledge graph-augmented abstractive summarization with semantic-driven cloze reward. arXiv preprint arXiv:2005.01159 (2020)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2929141"},{"key":"e_1_3_2_1_8_1","volume-title":"Improving abstraction in text summarization. arXiv preprint arXiv:1808.07913","author":"Kry\u015bci\u0144ski Wojciech","year":"2018","unstructured":"Wojciech Kry\u015bci\u0144ski , Romain Paulus , Caiming Xiong , and Richard Socher . 2018. Improving abstraction in text summarization. arXiv preprint arXiv:1808.07913 ( 2018 ). Wojciech Kry\u015bci\u0144ski, Romain Paulus, Caiming Xiong, and Richard Socher. 2018. Improving abstraction in text summarization. arXiv preprint arXiv:1808.07913 (2018)."},{"key":"e_1_3_2_1_9_1","volume-title":"Ying Zhang, Saizheng Zhang, Aaron\u00a0C Courville, and Yoshua Bengio.","author":"Lamb M","year":"2016","unstructured":"Alex\u00a0 M Lamb , Anirudh\u00a0Goyal ALIAS PARTH\u00a0GOYAL , Ying Zhang, Saizheng Zhang, Aaron\u00a0C Courville, and Yoshua Bengio. 2016 . Professor forcing: A new algorithm for training recurrent networks. Advances in neural information processing systems 29 (2016). Alex\u00a0M Lamb, Anirudh\u00a0Goyal ALIAS PARTH\u00a0GOYAL, Ying Zhang, Saizheng Zhang, Aaron\u00a0C Courville, and Yoshua Bengio. 2016. Professor forcing: A new algorithm for training recurrent networks. Advances in neural information processing systems 29 (2016)."},{"key":"e_1_3_2_1_10_1","volume-title":"Deep reinforcement learning with distributional semantic rewards for abstractive summarization. arXiv preprint arXiv:1909.00141","author":"Li Siyao","year":"2019","unstructured":"Siyao Li , Deren Lei , Pengda Qin , and William\u00a0Yang Wang . 2019. Deep reinforcement learning with distributional semantic rewards for abstractive summarization. arXiv preprint arXiv:1909.00141 ( 2019 ). Siyao Li, Deren Lei, Pengda Qin, and William\u00a0Yang Wang. 2019. Deep reinforcement learning with distributional semantic rewards for abstractive summarization. arXiv preprint arXiv:1909.00141 (2019)."},{"key":"e_1_3_2_1_11_1","volume-title":"Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74\u201381.","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin . 2004 . Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74\u201381. Chin-Yew Lin. 2004. Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74\u201381."},{"key":"e_1_3_2_1_12_1","volume-title":"Text summarization with pretrained encoders. arXiv preprint arXiv:1908.08345","author":"Liu Yang","year":"2019","unstructured":"Yang Liu and Mirella Lapata . 2019. Text summarization with pretrained encoders. arXiv preprint arXiv:1908.08345 ( 2019 ). Yang Liu and Mirella Lapata. 2019. Text summarization with pretrained encoders. arXiv preprint arXiv:1908.08345 (2019)."},{"key":"e_1_3_2_1_13_1","volume-title":"A deep reinforced model for abstractive summarization. arXiv preprint arXiv:1705.04304","author":"Paulus Romain","year":"2017","unstructured":"Romain Paulus , Caiming Xiong , and Richard Socher . 2017. A deep reinforced model for abstractive summarization. arXiv preprint arXiv:1705.04304 ( 2017 ). Romain Paulus, Caiming Xiong, and Richard Socher. 2017. A deep reinforced model for abstractive summarization. arXiv preprint arXiv:1705.04304 (2017)."},{"key":"e_1_3_2_1_14_1","volume-title":"Chinese, multi-lingual, dialog, and code generation. arXiv preprint arXiv:2104.08006","author":"Qi Weizhen","year":"2021","unstructured":"Weizhen Qi , Yeyun Gong , Yu Yan , Can Xu , Bolun Yao , Bartuer Zhou , Biao Cheng , Daxin Jiang , Jiusheng Chen , Ruofei Zhang , 2021. ProphetNet-x: large-scale pre-training models for English , Chinese, multi-lingual, dialog, and code generation. arXiv preprint arXiv:2104.08006 ( 2021 ). Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, 2021. ProphetNet-x: large-scale pre-training models for English, Chinese, multi-lingual, dialog, and code generation. arXiv preprint arXiv:2104.08006 (2021)."},{"key":"e_1_3_2_1_15_1","volume-title":"Sequence level training with recurrent neural networks. arXiv preprint arXiv:1511.06732","author":"Ranzato Marc\u2019Aurelio","year":"2015","unstructured":"Marc\u2019Aurelio Ranzato , Sumit Chopra , Michael Auli , and Wojciech Zaremba . 2015. Sequence level training with recurrent neural networks. arXiv preprint arXiv:1511.06732 ( 2015 ). Marc\u2019Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2015. Sequence level training with recurrent neural networks. arXiv preprint arXiv:1511.06732 (2015)."},{"key":"e_1_3_2_1_16_1","volume-title":"A neural attention model for abstractive sentence summarization. arXiv preprint arXiv:1509.00685","author":"Rush M","year":"2015","unstructured":"Alexander\u00a0 M Rush , Sumit Chopra , and Jason Weston . 2015. A neural attention model for abstractive sentence summarization. arXiv preprint arXiv:1509.00685 ( 2015 ). Alexander\u00a0M Rush, Sumit Chopra, and Jason Weston. 2015. A neural attention model for abstractive sentence summarization. arXiv preprint arXiv:1509.00685 (2015)."},{"key":"e_1_3_2_1_17_1","volume-title":"Get to the point: Summarization with pointer-generator networks. arXiv preprint arXiv:1704.04368","author":"Liu J","year":"2017","unstructured":"Abigail See, Peter\u00a0 J Liu , and Christopher\u00a0 D Manning . 2017. Get to the point: Summarization with pointer-generator networks. arXiv preprint arXiv:1704.04368 ( 2017 ). Abigail See, Peter\u00a0J Liu, and Christopher\u00a0D Manning. 2017. Get to the point: Summarization with pointer-generator networks. arXiv preprint arXiv:1704.04368 (2017)."},{"key":"e_1_3_2_1_18_1","volume-title":"An entity-driven framework for abstractive summarization. arXiv preprint arXiv:1909.02059","author":"Sharma Eva","year":"2019","unstructured":"Eva Sharma , Luyang Huang , Zhe Hu , and Lu Wang . 2019. An entity-driven framework for abstractive summarization. arXiv preprint arXiv:1909.02059 ( 2019 ). Eva Sharma, Luyang Huang, Zhe Hu, and Lu Wang. 2019. An entity-driven framework for abstractive summarization. arXiv preprint arXiv:1909.02059 (2019)."},{"key":"e_1_3_2_1_19_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan\u00a0 N Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. Advances in neural information processing systems 30 ( 2017 ). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan\u00a0N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_20_1","volume-title":"Pointer networks. Advances in neural information processing systems 28","author":"Vinyals Oriol","year":"2015","unstructured":"Oriol Vinyals , Meire Fortunato , and Navdeep Jaitly . 2015. Pointer networks. Advances in neural information processing systems 28 ( 2015 ). Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015. Pointer networks. Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_2_1_21_1","volume-title":"A reinforced topic-aware convolutional sequence-to-sequence model for abstractive text summarization. arXiv preprint arXiv:1805.03616","author":"Wang Li","year":"2018","unstructured":"Li Wang , Junlin Yao , Yunzhe Tao , Li Zhong , Wei Liu , and Qiang Du. 2018. A reinforced topic-aware convolutional sequence-to-sequence model for abstractive text summarization. arXiv preprint arXiv:1805.03616 ( 2018 ). Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, and Qiang Du. 2018. A reinforced topic-aware convolutional sequence-to-sequence model for abstractive text summarization. arXiv preprint arXiv:1805.03616 (2018)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6470"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301387"},{"key":"e_1_3_2_1_24_1","volume-title":"Selective encoding for abstractive sentence summarization. arXiv preprint arXiv:1704.07073","author":"Zhou Qingyu","year":"2017","unstructured":"Qingyu Zhou , Nan Yang , Furu Wei , and Ming Zhou . 2017. Selective encoding for abstractive sentence summarization. arXiv preprint arXiv:1704.07073 ( 2017 ). Qingyu Zhou, Nan Yang, Furu Wei, and Ming Zhou. 2017. Selective encoding for abstractive sentence summarization. arXiv preprint arXiv:1704.07073 (2017)."}],"event":{"name":"CACML 2023: 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","location":"Shanghai China","acronym":"CACML 2023"},"container-title":["Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3590003.3590019","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3590003.3590019","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:16Z","timestamp":1750183756000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3590003.3590019"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,17]]},"references-count":24,"alternative-id":["10.1145\/3590003.3590019","10.1145\/3590003"],"URL":"https:\/\/doi.org\/10.1145\/3590003.3590019","relation":{},"subject":[],"published":{"date-parts":[[2023,3,17]]},"assertion":[{"value":"2023-05-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}