{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T07:01:05Z","timestamp":1760598065496,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":50,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,14]],"date-time":"2021-08-14T00:00:00Z","timestamp":1628899200000},"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":[[2021,8,14]]},"DOI":"10.1145\/3447548.3467202","type":"proceedings-article","created":{"date-parts":[[2021,8,13]],"date-time":"2021-08-13T18:21:39Z","timestamp":1628878899000},"page":"3423-3431","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Diversity driven Query Rewriting in Search Advertising"],"prefix":"10.1145","author":[{"given":"Akash Kumar","family":"Mohankumar","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Madras, Chennai, India"}]},{"given":"Nikit","family":"Begwani","sequence":"additional","affiliation":[{"name":"Microsoft, Bangalore, India"}]},{"given":"Amit","family":"Singh","sequence":"additional","affiliation":[{"name":"Microsoft, Bangalore, India"}]}],"member":"320","published-online":{"date-parts":[[2021,8,14]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742739"},{"key":"e_1_3_2_2_2_1","volume-title":"An Actor-Critic Algorithm for Sequence Prediction. ArXiv","author":"Bahdanau Dzmitry","year":"2017","unstructured":"Dzmitry Bahdanau , Philemon Brakel , Kelvin Xu , Anirudh Goyal , Ryan Lowe , Joelle Pineau , Aaron C. Courville , and Yoshua Bengio . 2017. An Actor-Critic Algorithm for Sequence Prediction. ArXiv , Vol. abs\/ 1607 .07086 ( 2017 ). Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, and Yoshua Bengio. 2017. An Actor-Critic Algorithm for Sequence Prediction. ArXiv, Vol. abs\/1607.07086 (2017)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219897"},{"key":"e_1_3_2_2_4_1","volume-title":"Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and\/or Summarization. Association for Computational Linguistics","author":"Banerjee Satanjeev","year":"2005","unstructured":"Satanjeev Banerjee and Alon Lavie . 2005 . METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments . In Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and\/or Summarization. Association for Computational Linguistics , Ann Arbor, Michigan, 65--72. https:\/\/www.aclweb.org\/anthology\/W05-0909 Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and\/or Summarization. Association for Computational Linguistics, Ann Arbor, Michigan, 65--72. https:\/\/www.aclweb.org\/anthology\/W05-0909"},{"key":"e_1_3_2_2_5_1","volume-title":"Better Rewards Yield Better Summaries: Learning to Summarise Without References. ArXiv","author":"B\u00f6hm F.","year":"2019","unstructured":"F. B\u00f6hm , Yang Gao , C. Meyer , Ori Shapira , I. Dagan , and Iryna Gurevych . 2019. Better Rewards Yield Better Summaries: Learning to Summarise Without References. ArXiv , Vol. abs\/ 1909 .01214 ( 2019 ). F. B\u00f6hm, Yang Gao, C. Meyer, Ori Shapira, I. Dagan, and Iryna Gurevych. 2019. Better Rewards Yield Better Summaries: Learning to Summarise Without References. ArXiv, Vol. abs\/1909.01214 (2019)."},{"volume-title":"CIKM '08","author":"Broder A.","key":"e_1_3_2_2_6_1","unstructured":"A. Broder , P. Ciccolo , Marcus Fontoura , Evgeniy Gabrilovich , V. Josifovski , and L. Riedel . 2008. Search advertising using web relevance feedback . In CIKM '08 . A. Broder, P. Ciccolo, Marcus Fontoura, Evgeniy Gabrilovich, V. Josifovski, and L. Riedel. 2008. Search advertising using web relevance feedback. In CIKM '08."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"A. Broder Marcus Fontoura V. Josifovski and L. Riedel. 2007. A semantic approach to contextual advertising. In SIGIR.  A. Broder Marcus Fontoura V. Josifovski and L. Riedel. 2007. A semantic approach to contextual advertising. In SIGIR.","DOI":"10.1145\/1277741.1277837"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"crossref","unstructured":"Alexis Conneau Kartikay Khandelwal Naman Goyal Vishrav Chaudhary Guillaume Wenzek Francisco Guzm\u00e1n E. Grave Myle Ott Luke Zettlemoyer and Veselin Stoyanov. 2020. Unsupervised Cross-lingual Representation Learning at Scale. In ACL.  Alexis Conneau Kartikay Khandelwal Naman Goyal Vishrav Chaudhary Guillaume Wenzek Francisco Guzm\u00e1n E. Grave Myle Ott Luke Zettlemoyer and Veselin Stoyanov. 2020. Unsupervised Cross-lingual Representation Learning at Scale. In ACL.","DOI":"10.18653\/v1\/2020.acl-main.747"},{"key":"e_1_3_2_2_9_1","unstructured":"Kunal Dahiya Anshul Mittal Deepak Saini Kushal S. Dave Himanshu Jain Sumeet Agarwal and M. Varma. 2019. DeepXML: Scalable & Accurate Deep Extreme Classification for Matching User Queries to Advertiser Bid Phrases.  Kunal Dahiya Anshul Mittal Deepak Saini Kushal S. Dave Himanshu Jain Sumeet Agarwal and M. Varma. 2019. DeepXML: Scalable & Accurate Deep Extreme Classification for Matching User Queries to Advertiser Bid Phrases."},{"key":"e_1_3_2_2_10_1","unstructured":"Gabriel Forgues and Joelle Pineau. 2014. Bootstrapping Dialog Systems with Word Embeddings.  Gabriel Forgues and Joelle Pineau. 2014. Bootstrapping Dialog Systems with Word Embeddings."},{"key":"e_1_3_2_2_11_1","unstructured":"Jianfeng Gao Shasha Xie X. He and Alnur Ali. 2012. Learning Lexicon Models from Search Logs for Query Expansion. In EMNLP-CoNLL.  Jianfeng Gao Shasha Xie X. He and Alnur Ali. 2012. Learning Lexicon Models from Search Logs for Query Expansion. In EMNLP-CoNLL."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911538"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767709"},{"volume-title":"WSDM '10","author":"Hillard D.","key":"e_1_3_2_2_14_1","unstructured":"D. Hillard , Stefan Schroedl , Eren Manavoglu , H. Raghavan , and C. Leggetter . 2010. Improving ad relevance in sponsored search . In WSDM '10 . D. Hillard, Stefan Schroedl, Eren Manavoglu, H. Raghavan, and C. Leggetter. 2010. Improving ad relevance in sponsored search. In WSDM '10."},{"volume-title":"WWW '06","author":"Jones R.","key":"e_1_3_2_2_15_1","unstructured":"R. Jones , B. Rey , O. Madani , and W. Greiner . 2006. Generating query substitutions . In WWW '06 . R. Jones, B. Rey, O. Madani, and W. Greiner. 2006. Generating query substitutions. In WWW '06."},{"key":"e_1_3_2_2_16_1","unstructured":"Vijay R. Konda and J. Tsitsiklis. 1999. Actor-Critic Algorithms. In NIPS.  Vijay R. Konda and J. Tsitsiklis. 1999. Actor-Critic Algorithms. In NIPS."},{"key":"e_1_3_2_2_17_1","volume-title":"Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement. In ICML.","author":"Kool Wouter","year":"2019","unstructured":"Wouter Kool , H. V. Hoof , and M. Welling . 2019 . Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement. In ICML. Wouter Kool, H. V. Hoof, and M. Welling. 2019. Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement. In ICML."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Julia Kreutzer Shahram Khadivi E. Matusov and S. Riezler. 2018. Can Neural Machine Translation be Improved with User Feedback?. In NAACL-HLT.  Julia Kreutzer Shahram Khadivi E. Matusov and S. Riezler. 2018. Can Neural Machine Translation be Improved with User Feedback?. In NAACL-HLT.","DOI":"10.18653\/v1\/N18-3012"},{"key":"e_1_3_2_2_19_1","volume-title":"A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological review","author":"Landauer Thomas K","year":"1997","unstructured":"Thomas K Landauer and Susan T Dumais . 1997. A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological review , Vol. 104 , 2 ( 1997 ), 211. Thomas K Landauer and Susan T Dumais. 1997. A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological review, Vol. 104, 2 (1997), 211."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219850"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"crossref","unstructured":"J. Li Michel Galley Chris Brockett Jianfeng Gao and W. Dolan. 2016a. A Diversity-Promoting Objective Function for Neural Conversation Models. ArXiv Vol. abs\/1510.03055 (2016).  J. Li Michel Galley Chris Brockett Jianfeng Gao and W. Dolan. 2016a. A Diversity-Promoting Objective Function for Neural Conversation Models. ArXiv Vol. abs\/1510.03055 (2016).","DOI":"10.18653\/v1\/N16-1014"},{"key":"e_1_3_2_2_22_1","volume-title":"Fast Diverse Decoding Algorithm for Neural Generation. ArXiv","author":"Li J.","year":"2016","unstructured":"J. Li , Will Monroe , and Dan Jurafsky . 2016b. A Simple , Fast Diverse Decoding Algorithm for Neural Generation. ArXiv , Vol. abs\/ 1611 .08562 ( 2016 ). J. Li, Will Monroe, and Dan Jurafsky. 2016b. A Simple, Fast Diverse Decoding Algorithm for Neural Generation. ArXiv, Vol. abs\/1611.08562 (2016)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313466"},{"key":"e_1_3_2_2_24_1","volume-title":"Chunwei Yan, Muchenxuan Tong, W. Han, Hanju Guan, Y. Li, Y. Cao, Yang Yu, Z. Li, X. Liu, and Y. Wang.","author":"Lian Yijiang","year":"2019","unstructured":"Yijiang Lian , Z. Chen , J. Hu , Ke feng Zhang , Chunwei Yan, Muchenxuan Tong, W. Han, Hanju Guan, Y. Li, Y. Cao, Yang Yu, Z. Li, X. Liu, and Y. Wang. 2019 . An end-to-end Generative Retrieval Method for Sponsored Search Engine -Decoding Efficiently into a Closed Target Domain. ArXiv , Vol. abs\/ 1902 .00592 (2019). Yijiang Lian, Z. Chen, J. Hu, Ke feng Zhang, Chunwei Yan, Muchenxuan Tong, W. Han, Hanju Guan, Y. Li, Y. Cao, Yang Yu, Z. Li, X. Liu, and Y. Wang. 2019. An end-to-end Generative Retrieval Method for Sponsored Search Engine -Decoding Efficiently into a Closed Target Domain. ArXiv, Vol. abs\/1902.00592 (2019)."},{"key":"e_1_3_2_2_25_1","volume-title":"ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin . 2004 . ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out . Association for Computational Linguistics , Barcelona, Spain , 74--81. https:\/\/www.aclweb.org\/anthology\/W04--1013 Chin-Yew Lin. 2004. ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out. Association for Computational Linguistics, Barcelona, Spain, 74--81. https:\/\/www.aclweb.org\/anthology\/W04--1013"},{"volume-title":"Jian Su","author":"Liu Chia-Wei","key":"e_1_3_2_2_26_1","unstructured":"Chia-Wei Liu , Ryan Lowe , Iulian Serban , Michael Noseworthy , Laurent Charlin , and Joelle Pineau . 2016. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation , Jian Su , Xavier Carreras, and Kevin Duh (Eds.). The Association for Computational Linguistics . Chia-Wei Liu, Ryan Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 2016. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation, Jian Su, Xavier Carreras, and Kevin Duh (Eds.). The Association for Computational Linguistics."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1386790.1386793"},{"key":"e_1_3_2_2_28_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen G. S. Corrado and J. Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. ArXiv Vol. abs\/1310.4546 (2013).  Tomas Mikolov Ilya Sutskever Kai Chen G. S. Corrado and J. Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. ArXiv Vol. abs\/1310.4546 (2013)."},{"key":"e_1_3_2_2_29_1","volume-title":"Neural Models for Information Retrieval. ArXiv","author":"Mitra Bhaskar","year":"2017","unstructured":"Bhaskar Mitra and Nick Craswell . 2017. Neural Models for Information Retrieval. ArXiv , Vol. abs\/ 1705 .01509 ( 2017 ). Bhaskar Mitra and Nick Craswell. 2017. Neural Models for Information Retrieval. ArXiv, Vol. abs\/1705.01509 (2017)."},{"key":"e_1_3_2_2_30_1","volume-title":"Boyd-Graber","author":"Nguyen Khanh","year":"2017","unstructured":"Khanh Nguyen , Hal Daum\u00e9 , and Jordan L . Boyd-Graber . 2017 . Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. ArXiv , Vol. abs\/ 1707 .07402 (2017). Khanh Nguyen, Hal Daum\u00e9, and Jordan L. Boyd-Graber. 2017. Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. ArXiv, Vol. abs\/1707.07402 (2017)."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1238"},{"key":"e_1_3_2_2_32_1","volume-title":"Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics","author":"Papineni Kishore","year":"2002","unstructured":"Kishore Papineni , Salim Roukos , Todd Ward , and Wei-Jing Zhu . 2002 . BLEU: a Method for Automatic Evaluation of Machine Translation . In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics , Philadelphia, Pennsylvania, USA, 311--318. https:\/\/doi.org\/10.3115\/1073083.1073135 10.3115\/1073083.1073135 Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. BLEU: a Method for Automatic Evaluation of Machine Translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Philadelphia, Pennsylvania, USA, 311--318. https:\/\/doi.org\/10.3115\/1073083.1073135"},{"key":"e_1_3_2_2_33_1","unstructured":"Weizhen Qi Yeyun Gong Yu Yan Jian Jiao B. Shao R. Zhang H. Li N. Duan and M. Zhou. 2020. ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. ArXiv Vol. abs\/2010.10789 (2020).  Weizhen Qi Yeyun Gong Yu Yan Jian Jiao B. Shao R. Zhang H. Li N. Duan and M. Zhou. 2020. ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. ArXiv Vol. abs\/2010.10789 (2020)."},{"key":"e_1_3_2_2_34_1","unstructured":"Marc'Aurelio Ranzato S. Chopra M. Auli and W. Zaremba. 2016. Sequence Level Training with Recurrent Neural Networks. CoRR Vol. abs\/1511.06732 (2016).  Marc'Aurelio Ranzato S. Chopra M. Auli and W. Zaremba. 2016. Sequence Level Training with Recurrent Neural Networks. CoRR Vol. abs\/1511.06732 (2016)."},{"key":"e_1_3_2_2_35_1","volume-title":"Self-Critical Sequence Training for Image Captioning. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Rennie Steven J.","year":"2017","unstructured":"Steven J. Rennie , E. Marcheret , Youssef Mroueh , J. Ross , and V. Goel . 2017 . Self-Critical Sequence Training for Image Captioning. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ( 2017 ), 1179--1195. Steven J. Rennie, E. Marcheret, Youssef Mroueh, J. Ross, and V. Goel. 2017. Self-Critical Sequence Training for Image Captioning. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017), 1179--1195."},{"volume-title":"SIGIR '05","author":"Ribeiro-Neto B.","key":"e_1_3_2_2_36_1","unstructured":"B. Ribeiro-Neto , Marco Cristo , P. B. Golgher , and E. Moura . 2005. Impedance coupling in content-targeted advertising . In SIGIR '05 . B. Ribeiro-Neto, Marco Cristo, P. B. Golgher, and E. Moura. 2005. Impedance coupling in content-targeted advertising. In SIGIR '05."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00010"},{"key":"e_1_3_2_2_38_1","volume-title":"Lintean","author":"Rus Vasile","year":"2012","unstructured":"Vasile Rus and Mihai C . Lintean . 2012 . A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-Word Similarity Metrics. In BEA @NAACL-HLT. Vasile Rus and Mihai C. Lintean. 2012. A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-Word Similarity Metrics. In BEA@NAACL-HLT."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00347"},{"key":"e_1_3_2_2_40_1","volume-title":"Akash Kumar Mohankumar, and Mitesh M. Khapra. 2020 a. A Survey of Evaluation Metrics Used for NLG Systems. ArXiv","author":"Sai Ananya B.","year":"2009","unstructured":"Ananya B. Sai , Akash Kumar Mohankumar, and Mitesh M. Khapra. 2020 a. A Survey of Evaluation Metrics Used for NLG Systems. ArXiv , Vol. abs\/ 2008 .1 2009 (2020). Ananya B. Sai, Akash Kumar Mohankumar, and Mitesh M. Khapra. 2020 a. A Survey of Evaluation Metrics Used for NLG Systems. ArXiv, Vol. abs\/2008.12009 (2020)."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939704"},{"key":"e_1_3_2_2_42_1","volume-title":"MASS: Masked Sequence to Sequence Pre-training for Language Generation. In ICML.","author":"Song K.","year":"2019","unstructured":"K. Song , X. Tan , T. Qin , Jianfeng Lu , and T. Liu . 2019 . MASS: Masked Sequence to Sequence Pre-training for Language Generation. In ICML. K. Song, X. Tan, T. Qin, Jianfeng Lu, and T. Liu. 2019. MASS: Masked Sequence to Sequence Pre-training for Language Generation. In ICML."},{"key":"e_1_3_2_2_43_1","volume-title":"Learning to summarize from human feedback. ArXiv","author":"Stiennon Nisan","year":"2020","unstructured":"Nisan Stiennon , L. Ouyang , Jeff Wu , D. Ziegler , Ryan J. Lowe , Chelsea Voss , A. Radford , Dario Amodei , and Paul Christiano . 2020. Learning to summarize from human feedback. ArXiv , Vol. abs\/ 2009 .01325 ( 2020 ). Nisan Stiennon, L. Ouyang, Jeff Wu, D. Ziegler, Ryan J. Lowe, Chelsea Voss, A. Radford, Dario Amodei, and Paul Christiano. 2020. Learning to summarize from human feedback. ArXiv, Vol. abs\/2009.01325 (2020)."},{"key":"e_1_3_2_2_44_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez L. Kaiser and Illia Polosukhin. 2017. Attention is All you Need. In NIPS .  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez L. Kaiser and Illia Polosukhin. 2017. Attention is All you Need. In NIPS ."},{"key":"e_1_3_2_2_45_1","volume-title":"Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. ArXiv","author":"Vijayakumar Ashwin K.","year":"2016","unstructured":"Ashwin K. Vijayakumar , Michael Cogswell , R. R. Selvaraju , Q. Sun , Stefan Lee , David J. Crandall , and Dhruv Batra . 2016. Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. ArXiv , Vol. abs\/ 1610 .02424 ( 2016 ). Ashwin K. Vijayakumar, Michael Cogswell, R. R. Selvaraju, Q. Sun, Stefan Lee, David J. Crandall, and Dhruv Batra. 2016. Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. ArXiv, Vol. abs\/1610.02424 (2016)."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/bf00992696"},{"key":"e_1_3_2_2_47_1","unstructured":"Yuxiang Wu and Baotian Hu. 2018. Learning to Extract Coherent Summary via Deep Reinforcement Learning. In AAAI.  Yuxiang Wu and Baotian Hu. 2018. Learning to Extract Coherent Summary via Deep Reinforcement Learning. In AAAI."},{"key":"e_1_3_2_2_48_1","unstructured":"Yu Yan Weizhen Qi Yeyun Gong Dayiheng Liu N. Duan J. Chen R. Zhang and M. Zhou. 2020. ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. In EMNLP .  Yu Yan Weizhen Qi Yeyun Gong Dayiheng Liu N. Duan J. Chen R. Zhang and M. Zhou. 2020. ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. In EMNLP ."},{"key":"e_1_3_2_2_49_1","volume-title":"Domain-Constrained Advertising Keyword Generation. The World Wide Web Conference","author":"Zhou Hao","year":"2019","unstructured":"Hao Zhou , Minlie Huang , Y. Mao , Changlei Zhu , P. Shu , and Xiaoyan Zhu . 2019 . Domain-Constrained Advertising Keyword Generation. The World Wide Web Conference (2019). Hao Zhou, Minlie Huang, Y. Mao, Changlei Zhu, P. Shu, and Xiaoyan Zhu. 2019. Domain-Constrained Advertising Keyword Generation. The World Wide Web Conference (2019)."},{"key":"e_1_3_2_2_50_1","volume-title":"Fine-Tuning Language Models from Human Preferences. ArXiv","author":"Ziegler D.","year":"2019","unstructured":"D. Ziegler , Nisan Stiennon , Jeffrey Wu , T. Brown , A. Radford , Dario Amodei , Paul Christiano , and Geoffrey Irving . 2019. Fine-Tuning Language Models from Human Preferences. ArXiv , Vol. abs\/ 1909 .08593 ( 2019 ). D. Ziegler, Nisan Stiennon, Jeffrey Wu, T. Brown, A. Radford, Dario Amodei, Paul Christiano, and Geoffrey Irving. 2019. Fine-Tuning Language Models from Human Preferences. ArXiv, Vol. abs\/1909.08593 (2019)."}],"event":{"name":"KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Virtual Event Singapore","acronym":"KDD '21"},"container-title":["Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447548.3467202","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447548.3467202","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:27Z","timestamp":1750191507000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447548.3467202"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,14]]},"references-count":50,"alternative-id":["10.1145\/3447548.3467202","10.1145\/3447548"],"URL":"https:\/\/doi.org\/10.1145\/3447548.3467202","relation":{},"subject":[],"published":{"date-parts":[[2021,8,14]]},"assertion":[{"value":"2021-08-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}