{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T19:04:57Z","timestamp":1768071897775,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T00:00:00Z","timestamp":1587340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,4,20]]},"DOI":"10.1145\/3366423.3380064","type":"proceedings-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T08:11:44Z","timestamp":1588579904000},"page":"2962-2968","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Don\u2019t Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing"],"prefix":"10.1145","author":[{"given":"Subendhu","family":"Rongali","sequence":"first","affiliation":[{"name":"University of Massachusetts Amherst"}]},{"given":"Luca","family":"Soldaini","sequence":"additional","affiliation":[{"name":"Amazon Alexa Search"}]},{"given":"Emilio","family":"Monti","sequence":"additional","affiliation":[{"name":"Amazon Alexa"}]},{"given":"Wael","family":"Hamza","sequence":"additional","affiliation":[{"name":"Amazon Alexa AI"}]}],"member":"320","published-online":{"date-parts":[[2020,4,20]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Alice Coucke Alaa Saade Adrien Ball Th\u00e9odore Bluche Alexandre Caulier David Leroy Cl\u00e9ment Doumouro Thibault Gisselbrecht Francesco Caltagirone Thibaut Lavril 2018. Snips voice platform: an embedded spoken language understanding system for private-by-design voice interfaces. arXiv preprint arXiv:1805.10190(2018).  Alice Coucke Alaa Saade Adrien Ball Th\u00e9odore Bluche Alexandre Caulier David Leroy Cl\u00e9ment Doumouro Thibault Gisselbrecht Francesco Caltagirone Thibaut Lavril 2018. Snips voice platform: an embedded spoken language understanding system for private-by-design voice interfaces. arXiv preprint arXiv:1805.10190(2018)."},{"key":"e_1_3_2_1_2_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018).","author":"Devlin Jacob","year":"2018"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Chris Dyer Adhiguna Kuncoro Miguel Ballesteros and Noah\u00a0A Smith. 2016. Recurrent neural network grammars. arXiv preprint arXiv:1602.07776(2016).  Chris Dyer Adhiguna Kuncoro Miguel Ballesteros and Noah\u00a0A Smith. 2016. Recurrent neural network grammars. arXiv preprint arXiv:1602.07776(2016).","DOI":"10.18653\/v1\/N16-1024"},{"key":"e_1_3_2_1_4_1","unstructured":"Arash Einolghozati Panupong Pasupat Sonal Gupta Rushin Shah Mrinal Mohit Mike Lewis and Luke Zettlemoyer. 2019. Improving Semantic Parsing for Task Oriented Dialog. arXiv preprint arXiv:1902.06000(2019).  Arash Einolghozati Panupong Pasupat Sonal Gupta Rushin Shah Mrinal Mohit Mike Lewis and Luke Zettlemoyer. 2019. Improving Semantic Parsing for Task Oriented Dialog. arXiv preprint arXiv:1902.06000(2019)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2118"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1300"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Dilek Hakkani-T\u00fcr Asli Celikyilmaz Yun-Nung Chen Jianfeng Gao Li Deng and Ye-Yi Wang. 2016. Multi-domain joint semantic frame parsing using bi-directional rnn-lstm.. In Interspeech.  Dilek Hakkani-T\u00fcr Asli Celikyilmaz Yun-Nung Chen Jianfeng Gao Li Deng and Ye-Yi Wang. 2016. Multi-domain joint semantic frame parsing using bi-directional rnn-lstm.. In Interspeech.","DOI":"10.21437\/Interspeech.2016-402"},{"key":"e_1_3_2_1_8_1","unstructured":"Zhiheng Huang Wei Xu and Kai Yu. 2015. Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991(2015).  Zhiheng Huang Wei Xu and Kai Yu. 2015. Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991(2015)."},{"key":"e_1_3_2_1_9_1","unstructured":"Robin Jia and Percy Liang. 2016. Data recombination for neural semantic parsing. arXiv preprint arXiv:1606.03622(2016).  Robin Jia and Percy Liang. 2016. Data recombination for neural semantic parsing. arXiv preprint arXiv:1606.03622(2016)."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics","author":"Jiao Feng"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","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).","DOI":"10.3115\/v1\/D14-1181"},{"key":"e_1_3_2_1_12_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014).","author":"Kingma P","year":"2014"},{"key":"e_1_3_2_1_13_1","volume-title":"Opennmt: Open-source toolkit for neural machine translation. arXiv preprint arXiv:1701.02810(2017).","author":"Klein Guillaume","year":"2017"},{"key":"e_1_3_2_1_14_1","unstructured":"John Lafferty Andrew McCallum and Fernando\u00a0CN Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. (2001).  John Lafferty Andrew McCallum and Fernando\u00a0CN Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. (2001)."},{"key":"e_1_3_2_1_15_1","unstructured":"Percy Liang. 2016. Learning executable semantic parsers for natural language understanding. arXiv preprint arXiv:1603.06677(2016).  Percy Liang. 2016. Learning executable semantic parsers for natural language understanding. arXiv preprint arXiv:1603.06677(2016)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Bing Liu and Ian Lane. 2016. Attention-based recurrent neural network models for joint intent detection and slot filling. arXiv preprint arXiv:1609.01454(2016).  Bing Liu and Ian Lane. 2016. Attention-based recurrent neural network models for joint intent detection and slot filling. arXiv preprint arXiv:1609.01454(2016).","DOI":"10.21437\/Interspeech.2016-1352"},{"key":"e_1_3_2_1_17_1","volume-title":"Roberta: A robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692(2019).","author":"Liu Yinhan","year":"2019"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Gr\u00e9goire Mesnil Xiaodong He Li Deng and Yoshua Bengio. 2013. Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.. In Interspeech. 3771\u20133775.  Gr\u00e9goire Mesnil Xiaodong He Li Deng and Yoshua Bengio. 2013. Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.. In Interspeech. 3771\u20133775.","DOI":"10.21437\/Interspeech.2013-596"},{"key":"e_1_3_2_1_19_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg\u00a0S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111\u20133119.  Tomas Mikolov Ilya Sutskever Kai Chen Greg\u00a0S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111\u20133119."},{"key":"e_1_3_2_1_20_1","unstructured":"National Public Radio. 2019. Smart Speakers See 78% Increase YOY. https:\/\/www.npr.org\/about-npr\/682946406\/npr-report-smart-speakers-see-78-increase-yoy  National Public Radio. 2019. Smart Speakers See 78% Increase YOY. https:\/\/www.npr.org\/about-npr\/682946406\/npr-report-smart-speakers-see-78-increase-yoy"},{"key":"e_1_3_2_1_21_1","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_22_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220436"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Matthew\u00a0E Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee and Luke Zettlemoyer. 2018. Deep contextualized word representations. arXiv preprint arXiv:1802.05365(2018).  Matthew\u00a0E Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee and Luke Zettlemoyer. 2018. Deep contextualized word representations. arXiv preprint arXiv:1802.05365(2018).","DOI":"10.18653\/v1\/N18-1202"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Shrimai Prabhumoye Yulia Tsvetkov Ruslan Salakhutdinov and Alan\u00a0W Black. 2018. Style transfer through back-translation. arXiv preprint arXiv:1804.09000(2018).  Shrimai Prabhumoye Yulia Tsvetkov Ruslan Salakhutdinov and Alan\u00a0W Black. 2018. Style transfer through back-translation. arXiv preprint arXiv:1804.09000(2018).","DOI":"10.18653\/v1\/P18-1080"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.3115\/116580.116612"},{"key":"e_1_3_2_1_27_1","volume-title":"Language models are unsupervised multitask learners. OpenAI Blog 1, 8","author":"Radford Alec","year":"2019"},{"key":"e_1_3_2_1_28_1","unstructured":"Sara Sabour Nicholas Frosst and Geoffrey\u00a0E Hinton. 2017. Dynamic routing between capsules. In Advances in neural information processing systems. 3856\u20133866.  Sara Sabour Nicholas Frosst and Geoffrey\u00a0E Hinton. 2017. Dynamic routing between capsules. In Advances in neural information processing systems. 3856\u20133866."},{"key":"e_1_3_2_1_29_1","unstructured":"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).  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_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2012.6424194"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2010.5700816"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00241"},{"key":"e_1_3_2_1_33_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998\u20136008.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998\u20136008."},{"key":"e_1_3_2_1_34_1","unstructured":"Oriol Vinyals Meire Fortunato and Navdeep Jaitly. 2015. Pointer networks. In Advances in Neural Information Processing Systems. 2692\u20132700.  Oriol Vinyals Meire Fortunato and Navdeep Jaitly. 2015. Pointer networks. In Advances in Neural Information Processing Systems. 2692\u20132700."},{"key":"e_1_3_2_1_35_1","unstructured":"Luke\u00a0S Zettlemoyer and Michael Collins. 2012. Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars. arXiv preprint arXiv:1207.1420(2012).  Luke\u00a0S Zettlemoyer and Michael Collins. 2012. Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars. arXiv preprint arXiv:1207.1420(2012)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1519"}],"event":{"name":"WWW '20: The Web Conference 2020","location":"Taipei Taiwan","acronym":"WWW '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of The Web Conference 2020"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3366423.3380064","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3366423.3380064","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:33:16Z","timestamp":1750199596000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3366423.3380064"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,20]]},"references-count":36,"alternative-id":["10.1145\/3366423.3380064","10.1145\/3366423"],"URL":"https:\/\/doi.org\/10.1145\/3366423.3380064","relation":{},"subject":[],"published":{"date-parts":[[2020,4,20]]},"assertion":[{"value":"2020-04-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}