{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:04Z","timestamp":1750220584547,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T00:00:00Z","timestamp":1595635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSF","award":["SaTC-1816497"],"award-info":[{"award-number":["SaTC-1816497"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,7,25]]},"DOI":"10.1145\/3397271.3401074","type":"proceedings-article","created":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T07:50:08Z","timestamp":1595663408000},"page":"1021-1030","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["ADORE"],"prefix":"10.1145","author":[{"given":"Parisa","family":"Kaghazgaran","sequence":"first","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianling","family":"Wang","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruihong","family":"Huang","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James","family":"Caverlee","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Generating weather forecast texts with case based reasoning. arXiv","author":"Adeyanju Ibrahim","year":"2015","unstructured":"Ibrahim Adeyanju . 2015. Generating weather forecast texts with case based reasoning. arXiv ( 2015 ). Ibrahim Adeyanju. 2015. Generating weather forecast texts with case based reasoning. arXiv (2015)."},{"key":"e_1_3_2_1_2_1","volume-title":"Text segmentation based on semantic word embeddings. arXiv preprint arXiv:1503.05543","author":"Alemi Alexander A","year":"2015","unstructured":"Alexander A Alemi and Paul Ginsparg . 2015. Text segmentation based on semantic word embeddings. arXiv preprint arXiv:1503.05543 ( 2015 ). Alexander A Alemi and Paul Ginsparg. 2015. Text segmentation based on semantic word embeddings. arXiv preprint arXiv:1503.05543 (2015)."},{"key":"e_1_3_2_1_3_1","volume-title":"Neural machine translation by jointly learning to align and translate. ICLR","author":"Bahdanau Dzmitry","year":"2015","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015. Neural machine translation by jointly learning to align and translate. ICLR ( 2015 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. ICLR (2015)."},{"key":"e_1_3_2_1_4_1","volume-title":"Statistical models for text segmentation. Machine learning","author":"Beeferman Doug","year":"1999","unstructured":"Doug Beeferman , Adam Berger , and John Lafferty . 1999. Statistical models for text segmentation. Machine learning ( 1999 ). Doug Beeferman, Adam Berger, and John Lafferty. 1999. Statistical models for text segmentation. Machine learning (1999)."},{"key":"e_1_3_2_1_5_1","volume-title":"Chen","author":"Shiqian","year":"2019","unstructured":"Shiqian et al. Chen . 2019 . Driven answer generation for product-related questions in e-commerce. WSDM. Shiqian et al. Chen. 2019. Driven answer generation for product-related questions in e-commerce. WSDM."},{"key":"e_1_3_2_1_6_1","volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Li Dong Shaohan Huang Furu Wei Mirella Lapata Ming Zhou and Ke Xu. 2017. Learning to generate product reviews from attributes. In EACL. 623--632.  Li Dong Shaohan Huang Furu Wei Mirella Lapata Ming Zhou and Ke Xu. 2017. Learning to generate product reviews from attributes. In EACL. 623--632.","DOI":"10.18653\/v1\/E17-1059"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Wenjing Duan and etal 2008. Do online reviews matter? An empirical investigation of panel data. Decision support systems (2008).  Wenjing Duan and et al. 2008. Do online reviews matter? An empirical investigation of panel data. Decision support systems (2008).","DOI":"10.1016\/j.dss.2008.04.001"},{"key":"e_1_3_2_1_9_1","volume-title":"Representation degeneration problem in training natural language generation models. ICLR","author":"Gao Jun","year":"2019","unstructured":"Jun Gao , Di He , Xu Tan , Tao Qin , Liwei Wang , and Tie-Yan Liu . 2019. Representation degeneration problem in training natural language generation models. ICLR ( 2019 ). Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, and Tie-Yan Liu. 2019. Representation degeneration problem in training natural language generation models. ICLR (2019)."},{"key":"e_1_3_2_1_10_1","volume-title":"Generating sequences with recurrent neural networks. arXiv","author":"Graves Alex","year":"2013","unstructured":"Alex Graves . 2013. Generating sequences with recurrent neural networks. arXiv ( 2013 ). Alex Graves. 2013. Generating sequences with recurrent neural networks. arXiv (2013)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Dirk Hovy. 2016. The enemy in your own camp: How well can we detect statistically-generated fake reviews--An adversarial study. In ACL.  Dirk Hovy. 2016. The enemy in your own camp: How well can we detect statistically-generated fake reviews--An adversarial study. In ACL.","DOI":"10.18653\/v1\/P16-2057"},{"key":"e_1_3_2_1_12_1","volume-title":"Last Access: 08\/16\/2019.","author":"Yelp Inc. 2011.","year":"2011","unstructured":"Yelp Inc. 2011. Yelp and the 1\/9\/90 Rule, https:\/\/blog.yelp.com\/2011\/06\/yelp-and-the-1990-rule , Last Access: 08\/16\/2019. ( 2011 ). Yelp Inc. 2011. Yelp and the 1\/9\/90 Rule, https:\/\/blog.yelp.com\/2011\/06\/yelp-and-the-1990-rule, Last Access: 08\/16\/2019. (2011)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Anjuli Kannan and etal 2016. Smart reply: Automated response suggestion for email. In KDD. ACM.  Anjuli Kannan and et al. 2016. Smart reply: Automated response suggestion for email. In KDD. ACM.","DOI":"10.1145\/2939672.2939801"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Andrej Karpathy and Li Fei-Fei. 2015. Deep visual-semantic alignments for generating image descriptions. In CVPR.  Andrej Karpathy and Li Fei-Fei. 2015. Deep visual-semantic alignments for generating image descriptions. In CVPR.","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"e_1_3_2_1_15_1","volume-title":"International conference on machine learning.","author":"Kusner Matt","year":"2015","unstructured":"Matt Kusner , Yu Sun , Nicholas Kolkin , and Kilian Weinberger . 2015 . From word embeddings to document distances . In International conference on machine learning. Matt Kusner, Yu Sun, Nicholas Kolkin, and Kilian Weinberger. 2015. From word embeddings to document distances. In International conference on machine learning."},{"key":"e_1_3_2_1_16_1","unstructured":"Dean D Lehr. 2015. An analysis of the changing competitive landscape in the hotel industry regarding Airbnb. (2015).  Dean D Lehr. 2015. An analysis of the changing competitive landscape in the hotel industry regarding Airbnb. (2015)."},{"key":"e_1_3_2_1_17_1","unstructured":"Zachary C Lipton and etal 2016. Capturing meaning in product reviews with character-level generative text models. ICLR (2016.  Zachary C Lipton and et al. 2016. Capturing meaning in product reviews with character-level generative text models. ICLR (2016."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/2540128.2540435"},{"key":"e_1_3_2_1_19_1","volume-title":"Last Access: 08\/14\/2019.","author":"Makadia Mitul","year":"2018","unstructured":"Mitul Makadia . 2018. What Are the Advantage of Natural Language Generation and Its Impact on Business Intelligence?, https:\/\/www.marutitech.com\/advantages-of-natural-language-generation\/ , Last Access: 08\/14\/2019. ( 2018 ). Mitul Makadia. 2018. What Are the Advantage of Natural Language Generation and Its Impact on Business Intelligence?, https:\/\/www.marutitech.com\/advantages-of-natural-language-generation\/, Last Access: 08\/14\/2019. (2018)."},{"key":"e_1_3_2_1_20_1","volume-title":"vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment. Behavior research methods","author":"McCarthy Philip M","year":"2010","unstructured":"Philip M McCarthy and Scott Jarvis . 2010. MTLD , vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment. Behavior research methods , Vol. 42 , 2 ( 2010 ), 381--392. Philip M McCarthy and Scott Jarvis. 2010. MTLD, vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment. Behavior research methods, Vol. 42, 2 (2010), 381--392."},{"key":"e_1_3_2_1_21_1","unstructured":"Stephen Merity and etal 2017. Regularizing and optimizing LSTM language models. arXiv (2017).  Stephen Merity and et al. 2017. Regularizing and optimizing LSTM language models. arXiv (2017)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Samaneh Moghaddam and Martin Ester. 2011. ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews. In SIGIR. ACM.  Samaneh Moghaddam and Martin Ester. 2011. ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews. In SIGIR. ACM.","DOI":"10.1145\/2009916.2010006"},{"key":"e_1_3_2_1_23_1","unstructured":"Jianmo Ni and Julian McAuley. 2018. Personalized Review Generation by Expanding Phrases and Attending on Aspect-Aware Representations. In ACL. 706--711.  Jianmo Ni and Julian McAuley. 2018. Personalized Review Generation by Expanding Phrases and Attending on Aspect-Aware Representations. In ACL. 706--711."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1002"},{"volume-title":"Natural language processing and text mining","author":"Popescu Ana-Maria","key":"e_1_3_2_1_25_1","unstructured":"Ana-Maria Popescu and Orena Etzioni . 2007. Extracting product features and opinions from reviews . In Natural language processing and text mining . Springer . Ana-Maria Popescu and Orena Etzioni. 2007. Extracting product features and opinions from reviews. In Natural language processing and text mining. Springer."},{"key":"e_1_3_2_1_26_1","unstructured":"Alec Radford and etal 2017. Learning to generate reviews and discovering sentiment. arXiv (2017).  Alec Radford and et al. 2017. Learning to generate reviews and discovering sentiment. arXiv (2017)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Ehud Reiter and etal 2005. Choosing words in computer-generated weather forecasts. Artificial Intelligence (2005).  Ehud Reiter and et al. 2005. Choosing words in computer-generated weather forecasts. Artificial Intelligence (2005).","DOI":"10.1016\/j.artint.2005.06.006"},{"key":"e_1_3_2_1_28_1","volume-title":"Last Access: 08\/14\/2019.","author":"Roetzer Paul","year":"2016","unstructured":"Paul Roetzer . 2016. How the Associate Press and the Orlando Magic Write Thousands of Content Pieces in Seconds, https:\/\/bit.ly\/2HCyAiS , Last Access: 08\/14\/2019. ( 2016 ). Paul Roetzer. 2016. How the Associate Press and the Orlando Magic Write Thousands of Content Pieces in Seconds, https:\/\/bit.ly\/2HCyAiS, Last Access: 08\/14\/2019. (2016)."},{"key":"e_1_3_2_1_29_1","volume-title":"Neural responding machine for short-text conversation. ACL","author":"Shang Lifeng","year":"2015","unstructured":"Lifeng Shang , Zhengdong Lu , and Hang Li. 2015. Neural responding machine for short-text conversation. ACL ( 2015 ). Lifeng Shang, Zhengdong Lu, and Hang Li. 2015. Neural responding machine for short-text conversation. ACL (2015)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1022"},{"key":"e_1_3_2_1_31_1","unstructured":"Ilya Sutskever and etal 2011. Generating text with recurrent neural networks. In ICML.  Ilya Sutskever and et al. 2011. Generating text with recurrent neural networks. In ICML."},{"key":"e_1_3_2_1_32_1","volume-title":"A neural conversational model. ICML","author":"Vinyals Oriol","year":"2015","unstructured":"Oriol Vinyals and Quoc Le. 2015. A neural conversational model. ICML ( 2015 ). Oriol Vinyals and Quoc Le. 2015. A neural conversational model. ICML (2015)."},{"key":"e_1_3_2_1_33_1","unstructured":"WashPostPR. 2016. The Washington Post experiments with automated storytelling to help power 2016 Rio Olympics coverage https:\/\/wapo.st\/2G67Sg6 Last Access: 08\/14\/2019.(2016).  WashPostPR. 2016. The Washington Post experiments with automated storytelling to help power 2016 Rio Olympics coverage https:\/\/wapo.st\/2G67Sg6 Last Access: 08\/14\/2019.(2016)."},{"key":"e_1_3_2_1_34_1","unstructured":"Anbang Xu and etal 2017. A new chatbot for customer service on social media. In CHI. ACM.  Anbang Xu and et al. 2017. A new chatbot for customer service on social media. In CHI. ACM."},{"key":"e_1_3_2_1_35_1","volume-title":"Double embeddings and cnn-based sequence labeling for aspect extraction. ACL","author":"Xu Hu","year":"2018","unstructured":"Hu Xu , Bing Liu , Lei Shu , and Philip S Yu. 2018. Double embeddings and cnn-based sequence labeling for aspect extraction. ACL ( 2018 ). Hu Xu, Bing Liu, Lei Shu, and Philip S Yu. 2018. Double embeddings and cnn-based sequence labeling for aspect extraction. ACL (2018)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Arun Kumar Yadav and Samir Kumar Borgohain. 2014. Sentence generation from a bag of words using N-gram model. In ICACCCT.  Arun Kumar Yadav and Samir Kumar Borgohain. 2014. Sentence generation from a bag of words using N-gram model. In ICACCCT.","DOI":"10.1109\/ICACCCT.2014.7019414"},{"key":"e_1_3_2_1_37_1","unstructured":"Yuanshun Yao and etal 2017. Automated crowdturfing attacks and defenses in online review systems. In CCS.  Yuanshun Yao and et al. 2017. Automated crowdturfing attacks and defenses in online review systems. In CCS."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-3526"}],"event":{"name":"SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event China","acronym":"SIGIR '20"},"container-title":["Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401074","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3397271.3401074","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3397271.3401074","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:31:38Z","timestamp":1750195898000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401074"}},"subtitle":["Aspect Dependent Online REview Labeling for Review Generation"],"short-title":[],"issued":{"date-parts":[[2020,7,25]]},"references-count":38,"alternative-id":["10.1145\/3397271.3401074","10.1145\/3397271"],"URL":"https:\/\/doi.org\/10.1145\/3397271.3401074","relation":{},"subject":[],"published":{"date-parts":[[2020,7,25]]},"assertion":[{"value":"2020-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}