{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T04:11:58Z","timestamp":1750824718032,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,13]],"date-time":"2017-08-13T00:00:00Z","timestamp":1502582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Institutes of Health","award":["NLM 2R01LM010681-05"],"award-info":[{"award-number":["NLM 2R01LM010681-05"]}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1054199"],"award-info":[{"award-number":["IIS-1054199"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,13]]},"DOI":"10.1145\/3097983.3098166","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T18:35:54Z","timestamp":1501871754000},"page":"1105-1113","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["End-to-end Learning for Short Text Expansion"],"prefix":"10.1145","author":[{"given":"Jian","family":"Tang","sequence":"first","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Zheng","sequence":"additional","affiliation":[{"name":"University of California, Irvine, Irvine, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiaozhu","family":"Mei","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,8,13]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Michael Bendersky and W Bruce Croft 2009. Analysis of long queries in a large scale search log Proceedings of 2009 Workshop on Web Search Click Data. 8--14. Michael Bendersky and W Bruce Croft 2009. Analysis of long queries in a large scale search log Proceedings of 2009 Workshop on Web Search Click Data. 8--14.","key":"e_1_3_2_1_1_1","DOI":"10.1145\/1507509.1507511"},{"key":"e_1_3_2_1_2_1","volume-title":"Automatic query expansion using SMART: TREC 3. NIST Special Publication","author":"Buckley Chris","year":"1995","unstructured":"Chris Buckley , Gerard Salton , James Allan , and Amit Singhal 1995. Automatic query expansion using SMART: TREC 3. NIST Special Publication ( 1995 ), 69--69. Chris Buckley, Gerard Salton, James Allan, and Amit Singhal 1995. Automatic query expansion using SMART: TREC 3. NIST Special Publication (1995), 69--69."},{"key":"e_1_3_2_1_3_1","volume-title":"Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho , Bart Van Merri\u00ebnboer , Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 . Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014). Kyunghyun Cho, Bart Van Merri\u00ebnboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1145\/564376.564428"},{"volume-title":"Improving retrieval of short texts through document expansion Proceedings of 35th International ACM SIGIR Conference on Research and Development in Information Retrieval. 911--920","author":"Efron Miles","unstructured":"Miles Efron , Peter Organisciak , and Katrina Fenlon . 2012. Improving retrieval of short texts through document expansion Proceedings of 35th International ACM SIGIR Conference on Research and Development in Information Retrieval. 911--920 . Miles Efron, Peter Organisciak, and Katrina Fenlon. 2012. Improving retrieval of short texts through document expansion Proceedings of 35th International ACM SIGIR Conference on Research and Development in Information Retrieval. 911--920.","key":"e_1_3_2_1_5_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.5555\/1390681.1442794"},{"key":"e_1_3_2_1_7_1","volume-title":"IJcAI","volume":"7","author":"Gabrilovich Evgeniy","year":"2007","unstructured":"Evgeniy Gabrilovich and Shaul Markovitch 2007 . Computing semantic relatedness using wikipedia-based explicit semantic analysis . IJcAI , Vol. Vol. 7 . 1606--1611. Evgeniy Gabrilovich and Shaul Markovitch 2007. Computing semantic relatedness using wikipedia-based explicit semantic analysis. IJcAI, Vol. Vol. 7. 1606--1611."},{"volume-title":"Supervised sequence labeling. Supervised Sequence Labeling with Recurrent Neural Networks","author":"Graves Alex","unstructured":"Alex Graves . 2012. Supervised sequence labeling. Supervised Sequence Labeling with Recurrent Neural Networks . Springer , 5--13. Alex Graves. 2012. Supervised sequence labeling. Supervised Sequence Labeling with Recurrent Neural Networks. Springer, 5--13.","key":"e_1_3_2_1_8_1"},{"key":"e_1_3_2_1_9_1","volume-title":"Neural turing machines. arXiv preprint arXiv:1410.5401","author":"Graves Alex","year":"2014","unstructured":"Alex Graves , Greg Wayne , and Ivo Danihelka 2014. Neural turing machines. arXiv preprint arXiv:1410.5401 ( 2014 ). Alex Graves, Greg Wayne, and Ivo Danihelka 2014. Neural turing machines. arXiv preprint arXiv:1410.5401 (2014)."},{"volume-title":"Exploiting internal and external semantics for the clustering of short texts using world knowledge Proceedings of 18th ACM Conference on Information and Knowledge Management. 919--928","author":"Hu Xia","unstructured":"Xia Hu , Nan Sun , Chao Zhang , and Tat-Seng Chua . 2009. Exploiting internal and external semantics for the clustering of short texts using world knowledge Proceedings of 18th ACM Conference on Information and Knowledge Management. 919--928 . Xia Hu, Nan Sun, Chao Zhang, and Tat-Seng Chua. 2009. Exploiting internal and external semantics for the clustering of short texts using world knowledge Proceedings of 18th ACM Conference on Information and Knowledge Management. 919--928.","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","volume-title":"Categorical Reparameterization with Gumbel-Softmax. arXiv preprint arXiv:1611.01144","author":"Jang Eric","year":"2016","unstructured":"Eric Jang , Shixiang Gu , and Ben Poole 2016. Categorical Reparameterization with Gumbel-Softmax. arXiv preprint arXiv:1611.01144 ( 2016 ). Eric Jang, Shixiang Gu, and Ben Poole 2016. Categorical Reparameterization with Gumbel-Softmax. arXiv preprint arXiv:1611.01144 (2016)."},{"key":"e_1_3_2_1_12_1","volume-title":"Bag of tricks for efficient text classification. arXiv preprint arXiv:1607.01759","author":"Joulin Armand","year":"2016","unstructured":"Armand Joulin , Edouard Grave , Piotr Bojanowski , and Tomas Mikolov 2016. Bag of tricks for efficient text classification. arXiv preprint arXiv:1607.01759 ( 2016 ). Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov 2016. Bag of tricks for efficient text classification. arXiv preprint arXiv:1607.01759 (2016)."},{"key":"e_1_3_2_1_13_1","volume-title":"Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882","author":"Yoon Kim","year":"2014","unstructured":"Yoon Kim 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 ( 2014 ). Yoon Kim 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014)."},{"key":"e_1_3_2_1_14_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik","year":"2014","unstructured":"Diederik Kingma and Jimmy Ba 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 ( 2014 ). Diederik Kingma and Jimmy Ba 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_15_1","volume-title":"Ask me anything: Dynamic memory networks for natural language processing. arXiv preprint arXiv:1506.07285","author":"Kumar Ankit","year":"2015","unstructured":"Ankit Kumar , Ozan Irsoy , Jonathan Su , James Bradbury , Robert English , Brian Pierce , Peter Ondruska , Ishaan Gulrajani , and Richard Socher 2015. Ask me anything: Dynamic memory networks for natural language processing. arXiv preprint arXiv:1506.07285 ( 2015 ). Ankit Kumar, Ozan Irsoy, Jonathan Su, James Bradbury, Robert English, Brian Pierce, Peter Ondruska, Ishaan Gulrajani, and Richard Socher 2015. Ask me anything: Dynamic memory networks for natural language processing. arXiv preprint arXiv:1506.07285 (2015)."},{"key":"e_1_3_2_1_16_1","volume-title":"ICML","volume":"14","author":"Le Quoc V","year":"2014","unstructured":"Quoc V Le and Tomas Mikolov 2014 . Distributed Representations of Sentences and Documents . ICML , Vol. Vol. 14 . 1188--1196. Quoc V Le and Tomas Mikolov 2014. Distributed Representations of Sentences and Documents. ICML, Vol. Vol. 14. 1188--1196."},{"volume-title":"Improving relevance feedback in the vector space model Proceedings of 6th International Conference on Information and Knowledge Management. ACM, 16--23","author":"Lundquist Carol","unstructured":"Carol Lundquist , David A Grossman , and Ophir Frieder . 1997. Improving relevance feedback in the vector space model Proceedings of 6th International Conference on Information and Knowledge Management. ACM, 16--23 . Carol Lundquist, David A Grossman, and Ophir Frieder. 1997. Improving relevance feedback in the vector space model Proceedings of 6th International Conference on Information and Knowledge Management. ACM, 16--23.","key":"e_1_3_2_1_17_1"},{"volume-title":"Expertise drift and query expansion in expert search Proceedings of 16th ACM Conference on Information and Knowledge Management. 341--350","author":"Macdonald Craig","unstructured":"Craig Macdonald and Iadh Ounis 2007. Expertise drift and query expansion in expert search Proceedings of 16th ACM Conference on Information and Knowledge Management. 341--350 . Craig Macdonald and Iadh Ounis 2007. Expertise drift and query expansion in expert search Proceedings of 16th ACM Conference on Information and Knowledge Management. 341--350.","key":"e_1_3_2_1_18_1"},{"key":"e_1_3_2_1_19_1","volume-title":"Recognizing groceries in situ using in vitro training data CVPR","author":"Merler Michele","year":"2007","unstructured":"Michele Merler , Carolina Galleguillos , and Serge Belongie . Recognizing groceries in situ using in vitro training data CVPR 2007 . Michele Merler, Carolina Galleguillos, and Serge Belongie. Recognizing groceries in situ using in vitro training data CVPR 2007."},{"unstructured":"Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (????). Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (????).","key":"e_1_3_2_1_20_1"},{"unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean 2013. Distributed representations of words and phrases and their compositionality Advances in Neural Information Processing Systems. 3111--3119. Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean 2013. Distributed representations of words and phrases and their compositionality Advances in Neural Information Processing Systems. 3111--3119.","key":"e_1_3_2_1_21_1"},{"unstructured":"Volodymyr Mnih Nicolas Heess Alex Graves and Koray Kavukcuoglu 2014. Recurrent models of visual attention. In Advances in Neural Information Processing Systems. 2204--2212. Volodymyr Mnih Nicolas Heess Alex Graves and Koray Kavukcuoglu 2014. Recurrent models of visual attention. In Advances in Neural Information Processing Systems. 2204--2212.","key":"e_1_3_2_1_22_1"},{"key":"e_1_3_2_1_23_1","volume-title":"Neural Semantic Encoders. arXiv preprint arXiv:1607.04315","author":"Munkhdalai Tsendsuren","year":"2016","unstructured":"Tsendsuren Munkhdalai and Hong Yu 2016. Neural Semantic Encoders. arXiv preprint arXiv:1607.04315 ( 2016 ). Tsendsuren Munkhdalai and Hong Yu 2016. Neural Semantic Encoders. arXiv preprint arXiv:1607.04315 (2016)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.1109\/TASLP.2016.2520371"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1145\/1367497.1367510"},{"unstructured":"Joseph John Rocchio. 1971. Relevance feedback in information retrieval. (1971). Joseph John Rocchio. 1971. Relevance feedback in information retrieval. (1971).","key":"e_1_3_2_1_26_1"},{"volume-title":"A web-based kernel function for measuring the similarity of short text snippets Proceedings of 15th International Conference on World Wide Web. ACM, 377--386","author":"Sahami Mehran","unstructured":"Mehran Sahami and Timothy D Heilman 2006. A web-based kernel function for measuring the similarity of short text snippets Proceedings of 15th International Conference on World Wide Web. ACM, 377--386 . Mehran Sahami and Timothy D Heilman 2006. A web-based kernel function for measuring the similarity of short text snippets Proceedings of 15th International Conference on World Wide Web. ACM, 377--386.","key":"e_1_3_2_1_27_1"},{"volume-title":"Statistical source expansion for question answering Proceedings of 20th ACM International Conference on Information and Knowledge Management. 345--354","author":"Schlaefer Nico","unstructured":"Nico Schlaefer , Jennifer Chu-Carroll , Eric Nyberg , James Fan , Wlodek Zadrozny , and David Ferrucci . 2011. Statistical source expansion for question answering Proceedings of 20th ACM International Conference on Information and Knowledge Management. 345--354 . Nico Schlaefer, Jennifer Chu-Carroll, Eric Nyberg, James Fan, Wlodek Zadrozny, and David Ferrucci. 2011. Statistical source expansion for question answering Proceedings of 20th ACM International Conference on Information and Knowledge Management. 345--354.","key":"e_1_3_2_1_28_1"},{"unstructured":"Sainbayar Sukhbaatar Jason Weston Rob Fergus and others 2015. End-to-end memory networks. In Advances in Neural Information Processing Systems. 2440--2448. Sainbayar Sukhbaatar Jason Weston Rob Fergus and others 2015. End-to-end memory networks. In Advances in Neural Information Processing Systems. 2440--2448.","key":"e_1_3_2_1_29_1"},{"volume-title":"PTE: Predictive text embedding through large-scale heterogeneous text networks Proceedings of 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 1165--1174","author":"Tang Jian","unstructured":"Jian Tang , Meng Qu , and Qiaozhu Mei 2015natexlaba. PTE: Predictive text embedding through large-scale heterogeneous text networks Proceedings of 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 1165--1174 . Jian Tang, Meng Qu, and Qiaozhu Mei 2015natexlaba. PTE: Predictive text embedding through large-scale heterogeneous text networks Proceedings of 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 1165--1174.","key":"e_1_3_2_1_30_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_31_1","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_1_32_1","volume-title":"Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning","author":"Williams Ronald J","year":"1992","unstructured":"Ronald J Williams . 1992. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning , Vol. 8 , 3--4 ( 1992 ), 229--256. Ronald J Williams. 1992. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning, Vol. 8, 3--4 (1992), 229--256."},{"key":"e_1_3_2_1_33_1","volume-title":"Attend and Tell: Neural Image Caption Generation with Visual Attention. ICML","volume":"14","author":"Xu Kelvin","year":"2015","unstructured":"Kelvin Xu , Jimmy Ba , Ryan Kiros , Kyunghyun Cho , Aaron Courville , Ruslan Salakhutdinov , Richard S Zemel , and Yoshua Bengio . 2015 . Show , Attend and Tell: Neural Image Caption Generation with Visual Attention. ICML , Vol. Vol. 14 . 77--81. Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard S Zemel, and Yoshua Bengio. 2015. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. ICML, Vol. Vol. 14. 77--81."},{"volume-title":"Model-based feedback in the language modeling approach to information retrieval Proceedings of 10th International Conference on Information and Knowledge Management. ACM, 403--410","author":"Zhai Chengxiang","unstructured":"Chengxiang Zhai and John Lafferty 2001natexlaba. Model-based feedback in the language modeling approach to information retrieval Proceedings of 10th International Conference on Information and Knowledge Management. ACM, 403--410 . Chengxiang Zhai and John Lafferty 2001natexlaba. Model-based feedback in the language modeling approach to information retrieval Proceedings of 10th International Conference on Information and Knowledge Management. ACM, 403--410.","key":"e_1_3_2_1_34_1"},{"doi-asserted-by":"crossref","unstructured":"Chengxiang Zhai and John Lafferty 2001natexlabb. A study of smoothing methods for language models applied to ad hoc information retrieval Proceedings of 24th International ACM SIGIR Conference on Research and Development in Information Retrieval. 334--342. Chengxiang Zhai and John Lafferty 2001natexlabb. A study of smoothing methods for language models applied to ad hoc information retrieval Proceedings of 24th International ACM SIGIR Conference on Research and Development in Information Retrieval. 334--342.","key":"e_1_3_2_1_35_1","DOI":"10.1145\/383952.384019"}],"event":{"sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"acronym":"KDD '17","name":"KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Halifax NS Canada"},"container-title":["Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098166","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098166","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098166","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T20:38:02Z","timestamp":1750797482000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098166"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,13]]},"references-count":35,"alternative-id":["10.1145\/3097983.3098166","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3098166","relation":{},"subject":[],"published":{"date-parts":[[2017,8,13]]},"assertion":[{"value":"2017-08-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}