乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T20:46:19Z","timestamp":1730321179396,"version":"3.28.0"},"publisher-location":"New York, NY, USA","reference-count":50,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,13]]},"DOI":"10.1145\/3308558.3313750","type":"proceedings-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T12:17:59Z","timestamp":1557749879000},"page":"2033-2044","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":44,"title":["Aspect-level Sentiment Analysis using AS-Capsules"],"prefix":"10.1145","author":[{"given":"Yequan","family":"Wang","sequence":"first","affiliation":[{"name":"Tsinghua University, China"}]},{"given":"Aixin","family":"Sun","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore"}]},{"given":"Minlie","family":"Huang","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}]},{"given":"Xiaoyan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}]}],"member":"320","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"116","article-title":"A Vector Space Approach for Aspect Based Sentiment Analysis","author":"Alghunaim Abdulaziz","year":"2015","unstructured":"Abdulaziz Alghunaim , Mitra Mohtarami , Scott Cyphers , and Jim Glass . 2015 . A Vector Space Approach for Aspect Based Sentiment Analysis . In Proc. NAACL HLT. 116 - 122 . Abdulaziz Alghunaim, Mitra Mohtarami, Scott Cyphers, and Jim Glass. 2015. A Vector Space Approach for Aspect Based Sentiment Analysis. In Proc. NAACL HLT. 116-122.","journal-title":"Proc. NAACL HLT."},{"key":"e_1_3_2_1_2_1","unstructured":"Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. CoRRabs\/1409.0473(2014). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. CoRRabs\/1409.0473(2014)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"e_1_3_2_1_4_1","first-page":"1615","article-title":"Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm","author":"Felbo Bjarke","year":"2017","unstructured":"Bjarke Felbo , Alan Mislove , Anders S\u00f8gaard , Iyad Rahwan , and Sune Lehmann . 2017 . Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm . In Proc. EMNLP. 1615 - 1625 . Bjarke Felbo, Alan Mislove, Anders S\u00f8gaard, Iyad Rahwan, and Sune Lehmann. 2017. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm. In Proc. EMNLP. 1615-1625.","journal-title":"Proc. EMNLP."},{"key":"e_1_3_2_1_5_1","volume-title":"Proc. WebDB.","author":"Ganu Gayatree","year":"2009","unstructured":"Gayatree Ganu , Noemie Elhadad , and Ame\u00b4lie Marian . 2009 . Beyond the Stars: Improving Rating Predictions using Review Text Content . In Proc. WebDB. Gayatree Ganu, Noemie Elhadad, and Ame\u00b4lie Marian. 2009. Beyond the Stars: Improving Rating Predictions using Review Text Content. In Proc. WebDB."},{"key":"e_1_3_2_1_6_1","first-page":"393","article-title":"Implicit Feature Identification via Co-occurrence Association Rule Mining. In Proc. Computational Linguistics and Intelligent Text Processing - International Conference, CICLing","author":"Hai Zhen","year":"2011","unstructured":"Zhen Hai , Kuiyu Chang , and Jung-jae Kim. 2011 . Implicit Feature Identification via Co-occurrence Association Rule Mining. In Proc. Computational Linguistics and Intelligent Text Processing - International Conference, CICLing , Part I. 393 - 404 . Zhen Hai, Kuiyu Chang, and Jung-jae Kim. 2011. Implicit Feature Identification via Co-occurrence Association Rule Mining. In Proc. Computational Linguistics and Intelligent Text Processing - International Conference, CICLing, Part I. 393-404.","journal-title":"Part"},{"key":"e_1_3_2_1_7_1","series-title":"Hwee Tou Ng, and Daniel Dahlmeier.","volume-title":"Short Papers. 579-585.","author":"He Ruidan","year":"2018","unstructured":"Ruidan He , Wee Sun Lee , Hwee Tou Ng, and Daniel Dahlmeier. 2018 . Exploiting Document Knowledge for Aspect-level Sentiment Classification. In Proc. ACL , Volume 2 : Short Papers. 579-585. Ruidan He, Wee Sun Lee, Hwee Tou Ng, and Daniel Dahlmeier. 2018. Exploiting Document Knowledge for Aspect-level Sentiment Classification. In Proc. ACL, Volume 2: Short Papers. 579-585."},{"key":"e_1_3_2_1_8_1","first-page":"44","article-title":"Transforming Auto-Encoders. In Proc. ICANN","author":"Hinton Geoffrey E.","year":"2011","unstructured":"Geoffrey E. Hinton , Alex Krizhevsky , and Sida D. Wang . 2011 . Transforming Auto-Encoders. In Proc. ICANN , Part I. 44 - 51 . Geoffrey E. Hinton, Alex Krizhevsky, and Sida D. Wang. 2011. Transforming Auto-Encoders. In Proc. ICANN, Part I. 44-51.","journal-title":"Part"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_10_1","volume-title":"Proc. National Conference on Artificial Intelligence, Conference on Innovative Applications of Artificial Intelligence. 755-760","author":"Hu Minqing","year":"2004","unstructured":"Minqing Hu and Bing Liu . 2004 . Mining Opinion Features in Customer Reviews . In Proc. National Conference on Artificial Intelligence, Conference on Innovative Applications of Artificial Intelligence. 755-760 . Minqing Hu and Bing Liu. 2004. Mining Opinion Features in Customer Reviews. In Proc. National Conference on Artificial Intelligence, Conference on Innovative Applications of Artificial Intelligence. 755-760."},{"key":"e_1_3_2_1_11_1","first-page":"1035","article-title":"Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields","author":"Jakob Niklas","year":"2010","unstructured":"Niklas Jakob and Iryna Gurevych . 2010 . Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields . In Proc. EMNLP. 1035 - 1045 . Niklas Jakob and Iryna Gurevych. 2010. Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields. In Proc. EMNLP. 1035-1045.","journal-title":"Proc. EMNLP."},{"key":"e_1_3_2_1_12_1","first-page":"1075","article-title":"Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents","author":"Kaji Nobuhiro","year":"2007","unstructured":"Nobuhiro Kaji and Masaru Kitsuregawa . 2007 . Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents . In Proc. EMNLP-CoNLL. 1075 - 1083 . Nobuhiro Kaji and Masaru Kitsuregawa. 2007. Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents. In Proc. EMNLP-CoNLL. 1075-1083.","journal-title":"Proc. EMNLP-CoNLL."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"e_1_3_2_1_14_1","first-page":"1746","article-title":"Convolutional Neural Networks for Sentence Classification","author":"Kim Yoon","year":"2014","unstructured":"Yoon Kim . 2014 . Convolutional Neural Networks for Sentence Classification . In Proc. EMNLP. 1746 - 1751 . Yoon Kim. 2014. Convolutional Neural Networks for Sentence Classification. In Proc. EMNLP. 1746-1751.","journal-title":"Proc. EMNLP."},{"key":"e_1_3_2_1_15_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba . 2014 . Adam : A Method for Stochastic Optimization. CoRRabs\/ 1412.6980(2014). Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRRabs\/1412.6980(2014)."},{"key":"e_1_3_2_1_16_1","first-page":"1565","article-title":"Molding CNNs for text: non-linear, non-consecutive convolutions","author":"Lei Tao","year":"2015","unstructured":"Tao Lei , Regina Barzilay , and Tommi S. Jaakkola . 2015 . Molding CNNs for text: non-linear, non-consecutive convolutions . In Proc. EMNLP. 1565 - 1575 . Tao Lei, Regina Barzilay, and Tommi S. Jaakkola. 2015. Molding CNNs for text: non-linear, non-consecutive convolutions. In Proc. EMNLP. 1565-1575.","journal-title":"Proc. EMNLP."},{"volume-title":"Sentiment Analysis and Opinion Mining","author":"Liu Bing","key":"e_1_3_2_1_17_1","unstructured":"Bing Liu . 2012. Sentiment Analysis and Opinion Mining . Morgan & Claypool Publishers . Bing Liu. 2012. Sentiment Analysis and Opinion Mining. Morgan & Claypool Publishers."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186001"},{"key":"e_1_3_2_1_19_1","volume-title":"Mountain View, 2nd April","author":"Mikolov Tom\u00e1\u0161","year":"2012","unstructured":"Tom\u00e1\u0161 Mikolov . 2012. Statistical language models based on neural networks. Presentation at Google , Mountain View, 2nd April ( 2012 ). Tom\u00e1\u0161 Mikolov. 2012. Statistical language models based on neural networks. Presentation at Google, Mountain View, 2nd April (2012)."},{"key":"e_1_3_2_1_20_1","first-page":"3111","article-title":"Distributed Representations of Words and Phrases and their Compositionality","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov , Ilya Sutskever , Kai Chen , Gregory S. Corrado , and Jeffrey Dean . 2013 . Distributed Representations of Words and Phrases and their Compositionality . In Proc. NIPS. 3111 - 3119 . Tomas Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. In Proc. NIPS. 3111-3119.","journal-title":"Proc. NIPS."},{"key":"e_1_3_2_1_21_1","first-page":"1081","article-title":"A Scalable Hierarchical Distributed Language Model","author":"Mnih Andriy","year":"2008","unstructured":"Andriy Mnih and Geoffrey E. Hinton . 2008 . A Scalable Hierarchical Distributed Language Model . In Proc. NIPS. 1081 - 1088 . Andriy Mnih and Geoffrey E. Hinton. 2008. A Scalable Hierarchical Distributed Language Model. In Proc. NIPS. 1081-1088.","journal-title":"Proc. NIPS."},{"key":"e_1_3_2_1_22_1","volume-title":"Proc. Workshop on Semantic Evaluation, SemEval@NAACL-HLT. 321-327","author":"Mohammad Saif","year":"2013","unstructured":"Saif Mohammad , Svetlana Kiritchenko , and Xiaodan Zhu . 2013 . NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets . In Proc. Workshop on Semantic Evaluation, SemEval@NAACL-HLT. 321-327 . Saif Mohammad, Svetlana Kiritchenko, and Xiaodan Zhu. 2013. NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. In Proc. Workshop on Semantic Evaluation, SemEval@NAACL-HLT. 321-327."},{"key":"e_1_3_2_1_23_1","first-page":"412","article-title":"Sentiment Analysis using Support Vector Machines with Diverse Information Sources","author":"Mullen Tony","year":"2004","unstructured":"Tony Mullen and Nigel Collier . 2004 . Sentiment Analysis using Support Vector Machines with Diverse Information Sources . In Proc. EMNLP. 412 - 418 . Tony Mullen and Nigel Collier. 2004. Sentiment Analysis using Support Vector Machines with Diverse Information Sources. In Proc. EMNLP. 412-418.","journal-title":"Proc. EMNLP."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000011"},{"key":"e_1_3_2_1_25_1","first-page":"1532","article-title":"Glove","author":"Pennington Jeffrey","year":"2014","unstructured":"Jeffrey Pennington , Richard Socher , and Christopher D. Manning . 2014 . Glove : Global Vectors for Word Representation. In Proc. EMNLP. 1532 - 1543 . Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. Glove: Global Vectors for Word Representation. In Proc. EMNLP. 1532-1543.","journal-title":"Global Vectors for Word Representation. In Proc. EMNLP."},{"key":"e_1_3_2_1_26_1","first-page":"3077","article-title":"Learning Sentiment Lexicons in Spanish","author":"Pe\u00b4rez-Rosas Ver\u00f3nica","year":"2012","unstructured":"Ver\u00f3nica Pe\u00b4rez-Rosas , Carmen Banea , and Rada Mihalcea . 2012 . Learning Sentiment Lexicons in Spanish . In Proc. LREC. 3077 - 3081 . Ver\u00f3nica Pe\u00b4rez-Rosas, Carmen Banea, and Rada Mihalcea. 2012. Learning Sentiment Lexicons in Spanish. In Proc. LREC. 3077-3081.","journal-title":"Proc. LREC."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2004"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2004"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220618"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1154"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/1609067.1609142"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109761.3158403"},{"key":"e_1_3_2_1_33_1","first-page":"379","article-title":"A Neural Attention Model for Abstractive Sentence Summarization","author":"Rush Alexander M.","year":"2015","unstructured":"Alexander M. Rush , Sumit Chopra , and Jason Weston . 2015 . A Neural Attention Model for Abstractive Sentence Summarization . In Proc. EMNLP. 379 - 389 . Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015. A Neural Attention Model for Abstractive Sentence Summarization. In Proc. EMNLP. 379-389.","journal-title":"Proc. EMNLP."},{"key":"e_1_3_2_1_34_1","first-page":"3859","article-title":"Dynamic Routing Between Capsules","author":"Sabour Sara","year":"2017","unstructured":"Sara Sabour , Nicholas Frosst , and Geoffrey E. Hinton . 2017 . Dynamic Routing Between Capsules . In Proc. NIPS. 3859 - 3869 . Sara Sabour, Nicholas Frosst, and Geoffrey E. Hinton. 2017. Dynamic Routing Between Capsules. In Proc. NIPS. 3859-3869.","journal-title":"Proc. NIPS."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2485209"},{"key":"e_1_3_2_1_36_1","first-page":"151","article-title":"Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions","author":"Socher Richard","year":"2011","unstructured":"Richard Socher , Jeffrey Pennington , Eric H. Huang , Andrew Y. Ng , and Christopher D. Manning . 2011 . Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions . In Proc. EMNLP. 151 - 161 . Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, and Christopher D. Manning. 2011. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. In Proc. EMNLP. 151-161.","journal-title":"Proc. EMNLP."},{"key":"e_1_3_2_1_37_1","volume-title":"Proc. EMNLP","volume":"1631","author":"Socher Richard","year":"2013","unstructured":"Richard Socher , Alex Perelygin , Jean Y Wu , Jason Chuang , Christopher D Manning , Andrew Y Ng , and Christopher Potts . 2013 . Recursive deep models for semantic compositionality over a sentiment treebank . In Proc. EMNLP , Vol. 1631 . Citeseer, 1642. Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts. 2013. Recursive deep models for semantic compositionality over a sentiment treebank. In Proc. EMNLP, Vol. 1631. Citeseer, 1642."},{"key":"e_1_3_2_1_38_1","volume-title":"Long Papers. 1556-1566.","author":"Tai Kai Sheng","year":"2015","unstructured":"Kai Sheng Tai , Richard Socher , and Christopher D . Manning . 2015 . Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. In Proc. ACL , Volume 1 : Long Papers. 1556-1566. Kai Sheng Tai, Richard Socher, and Christopher D. Manning. 2015. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. In Proc. ACL, Volume 1: Long Papers. 1556-1566."},{"key":"e_1_3_2_1_39_1","unstructured":"Duyu Tang Bing Qin Xiaocheng Feng and Ting Liu. 2015. Target-Dependent Sentiment Classification with Long Short Term Memory. CoRRabs\/1512.01100(2015). Duyu Tang Bing Qin Xiaocheng Feng and Ting Liu. 2015. Target-Dependent Sentiment Classification with Long Short Term Memory. CoRRabs\/1512.01100(2015)."},{"key":"e_1_3_2_1_40_1","first-page":"1422","article-title":"Document Modeling with Gated Recurrent Neural Network for Sentiment Classification","author":"Tang Duyu","year":"2015","unstructured":"Duyu Tang , Bing Qin , and Ting Liu . 2015 . Document Modeling with Gated Recurrent Neural Network for Sentiment Classification . In Proc. EMNLP. 1422 - 1432 . Duyu Tang, Bing Qin, and Ting Liu. 2015. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. In Proc. EMNLP. 1422-1432.","journal-title":"Proc. EMNLP."},{"key":"e_1_3_2_1_41_1","first-page":"5956","article-title":"Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis","author":"Tay Yi","year":"2018","unstructured":"Yi Tay , Luu Anh Tuan , and Siu Cheung Hui . 2018 . Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis . In Proc. AAAI. 5956 - 5963 . Yi Tay, Luu Anh Tuan, and Siu Cheung Hui. 2018. Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis. In Proc. AAAI. 5956-5963.","journal-title":"Proc. AAAI."},{"key":"e_1_3_2_1_42_1","first-page":"282","article-title":"NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features","author":"Toh Zhiqiang","year":"2016","unstructured":"Zhiqiang Toh and Jian Su . 2016 . NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features . In Proc. NAACL HLT. 282 - 288 . Zhiqiang Toh and Jian Su. 2016. NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features. In Proc. NAACL HLT. 282-288.","journal-title":"Proc. NAACL HLT."},{"key":"e_1_3_2_1_43_1","first-page":"6000","article-title":"Attention is All you Need","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N. Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017 . Attention is All you Need . In Proc. NIPS. 6000 - 6010 . Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Proc. NIPS. 6000-6010.","journal-title":"Proc. NIPS."},{"key":"e_1_3_2_1_44_1","first-page":"606","article-title":"Attention-based LSTM for Aspect-level Sentiment Classification","author":"Wang Yequan","year":"2016","unstructured":"Yequan Wang , Minlie Huang , Li Zhao , and Xiaoyan Zhu . 2016 . Attention-based LSTM for Aspect-level Sentiment Classification . In Proc. EMNLP. 606 - 615 . Yequan Wang, Minlie Huang, Li Zhao, and Xiaoyan Zhu. 2016. Attention-based LSTM for Aspect-level Sentiment Classification. In Proc. EMNLP. 606-615.","journal-title":"Proc. EMNLP."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186015"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12059"},{"key":"e_1_3_2_1_47_1","first-page":"1480","article-title":"Hierarchical Attention Networks for Document Classification","author":"Yang Zichao","year":"2016","unstructured":"Zichao Yang , Diyi Yang , Chris Dyer , Xiaodong He , Alexander J. Smola , and Eduard H. Hovy . 2016 . Hierarchical Attention Networks for Document Classification . In Proc. NAACL HLT. 1480 - 1489 . Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J. Smola, and Eduard H. Hovy. 2016. Hierarchical Attention Networks for Document Classification. In Proc. NAACL HLT. 1480-1489.","journal-title":"Proc. NAACL HLT."},{"key":"e_1_3_2_1_48_1","volume-title":"Proc. COLING, Posters Volume. 1462-1470","author":"Zhang Lei","year":"2010","unstructured":"Lei Zhang , Bing Liu , Suk Hwan Lim , and Eamonn O'Brien-Strain . 2010 . Extracting and Ranking Product Features in Opinion Documents . In Proc. COLING, Posters Volume. 1462-1470 . Lei Zhang, Bing Liu, Suk Hwan Lim, and Eamonn O'Brien-Strain. 2010. Extracting and Ranking Product Features in Opinion Documents. In Proc. COLING, Posters Volume. 1462-1470."},{"key":"e_1_3_2_1_49_1","first-page":"377","article-title":"Generalizing Syntactic Structures for Product Attribute Candidate Extraction","author":"Zhao Yanyan","year":"2010","unstructured":"Yanyan Zhao , Bing Qin , Shen Hu , and Ting Liu . 2010 . Generalizing Syntactic Structures for Product Attribute Candidate Extraction . In Proc. HLT NAACL. 377 - 380 . Yanyan Zhao, Bing Qin, Shen Hu, and Ting Liu. 2010. Generalizing Syntactic Structures for Product Attribute Candidate Extraction. In Proc. HLT NAACL. 377-380.","journal-title":"Proc. HLT NAACL."},{"key":"e_1_3_2_1_50_1","first-page":"417","article-title":"Representation Learning for Aspect Category Detection in Online Reviews","author":"Zhou Xinjie","year":"2015","unstructured":"Xinjie Zhou , Xiaojun Wan , and Jianguo Xiao . 2015 . Representation Learning for Aspect Category Detection in Online Reviews . In Proc. AAAI. 417 - 424 . Xinjie Zhou, Xiaojun Wan, and Jianguo Xiao. 2015. Representation Learning for Aspect Category Detection in Online Reviews. In Proc. AAAI. 417-424.","journal-title":"Proc. AAAI."}],"event":{"name":"WWW '19: The Web Conference","sponsor":["IW3C2 International World Wide Web Conference Committee"],"location":"San Francisco CA USA","acronym":"WWW '19"},"container-title":["The World Wide Web Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3308558.3313750","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T07:26:47Z","timestamp":1681802807000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313750"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,13]]},"references-count":50,"alternative-id":["10.1145\/3308558.3313750","10.1145\/3308558"],"URL":"https:\/\/doi.org\/10.1145\/3308558.3313750","relation":{},"subject":[],"published":{"date-parts":[[2019,5,13]]},"assertion":[{"value":"2019-05-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}