{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T20:07:21Z","timestamp":1776110841177,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T00:00:00Z","timestamp":1587427200000},"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":[[2020,4,21]]},"DOI":"10.1145\/3313831.3376451","type":"proceedings-article","created":{"date-parts":[[2020,5,27]],"date-time":"2020-05-27T16:16:47Z","timestamp":1590596207000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Tempura: Query Analysis with Structural Templates"],"prefix":"10.1145","author":[{"given":"Tongshuang","family":"Wu","sequence":"first","affiliation":[{"name":"University of Washington &amp; Apple Inc., Seattle, WA, USA"}]},{"given":"Kanit","family":"Wongsuphasawat","sequence":"additional","affiliation":[{"name":"Apple Inc., Seattle, WA, USA"}]},{"given":"Donghao","family":"Ren","sequence":"additional","affiliation":[{"name":"Apple Inc., Seattle, WA, USA"}]},{"given":"Kayur","family":"Patel","sequence":"additional","affiliation":[{"name":"Apple Inc., Seattle, WA, USA"}]},{"given":"Chris","family":"DuBois","sequence":"additional","affiliation":[{"name":"Apple Inc., Seattle, WA, USA"}]}],"member":"320","published-online":{"date-parts":[[2020,4,23]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"A brief survey of text mining: Classification, clustering and extraction techniques. arXiv preprint arXiv:1707.02919","author":"Allahyari Mehdi","year":"2017","unstructured":"Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Asseff, Saied Safaei, Elizabeth D Trippe, Juan B Gutierrez, and Krys Kochut. 2017. A brief survey of text mining: Classification, clustering and extraction techniques. arXiv preprint arXiv:1707.02919 (2017)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.279"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1571997"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/325737.325776"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.14778\/1988776.1988781"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1018"},{"key":"e_1_3_2_2_7_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_8_1","volume-title":"Demos, SuCCESS) 48","author":"Ehrlinger Lisa","year":"2016","unstructured":"Lisa Ehrlinger and Wolfram W\u00f6\u00df. 2016. Towards a Definition of Knowledge Graphs. SEMANTiCS (Posters, Demos, SuCCESS) 48 (2016)."},{"key":"e_1_3_2_2_9_1","volume-title":"Anshul Vikram Pandey, and Enrico Bertini","author":"Felix Cristian","year":"2017","unstructured":"Cristian Felix, Anshul Vikram Pandey, and Enrico Bertini. 2017. TextTile: an interactive visualization tool for seamless exploratory analysis of structured data and unstructured text. IEEE transactions on visualization and computer graphics 23, 1 (2017), 161--170."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914701"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/2390665.2390723"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2014-002669"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_2_14_1","volume-title":"Frequent pattern mining: current status and future directions. Data mining and knowledge discovery 15, 1","author":"Han Jiawei","year":"2007","unstructured":"Jiawei Han, Hong Cheng, Dong Xin, and Xifeng Yan. 2007. Frequent pattern mining: current status and future directions. Data mining and knowledge discovery 15, 1 (2007), 55--86."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.3115\/992133.992154"},{"key":"e_1_3_2_2_16_1","volume-title":"Extreme extraction: Only one hour per relation. arXiv preprint arXiv:1506.06418","author":"Hoffmann Raphael","year":"2015","unstructured":"Raphael Hoffmann, Luke Zettlemoyer, and Daniel S Weld. 2015. Extreme extraction: Only one hour per relation. arXiv preprint arXiv:1506.06418 (2015)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300830"},{"key":"e_1_3_2_2_18_1","volume-title":"Applying pragmatics principles for interaction with visual analytics","author":"Hoque Enamul","year":"2017","unstructured":"Enamul Hoque, Vidya Setlur, Melanie Tory, and Isaac Dykeman. 2017. Applying pragmatics principles for interaction with visual analytics. IEEE transactions on visualization and computer graphics 24, 1 (2017), 309--318."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598590"},{"key":"e_1_3_2_2_20_1","volume-title":"Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension. arXiv preprint arXiv:1705.03551","author":"Joshi Mandar","year":"2017","unstructured":"Mandar Joshi, Eunsol Choi, Daniel S Weld, and Luke Zettlemoyer. 2017. Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension. arXiv preprint arXiv:1705.03551 (2017)."},{"key":"e_1_3_2_2_21_1","volume-title":"Proceedings of the IEEE International Conference on Computer Vision. 1965--1973","author":"Kaffe Kushal","year":"2017","unstructured":"Kushal Kaffe and Christopher Kanan. 2017. An analysis of visual question answering algorithms. In Proceedings of the IEEE International Conference on Computer Vision. 1965--1973."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00276"},{"key":"e_1_3_2_2_23_1","volume-title":"Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 1337--1345","author":"Li Xiao","year":"2010","unstructured":"Xiao Li. 2010. Understanding the semantic structure of noun phrase queries. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 1337--1345."},{"key":"e_1_3_2_2_24_1","volume-title":"A technique for the measurement of attitudes. Archives of psychology","author":"Likert Rensis","year":"1932","unstructured":"Rensis Likert. 1932. A technique for the measurement of attitudes. Archives of psychology (1932)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1105664.1105679"},{"key":"e_1_3_2_2_26_1","volume-title":"Efficient and robust question answering from minimal context over documents. arXiv preprint arXiv:1805.08092","author":"Min Sewon","year":"2018","unstructured":"Sewon Min, Victor Zhong, Richard Socher, and Caiming Xiong. 2018. Efficient and robust question answering from minimal context over documents. arXiv preprint arXiv:1805.08092 (2018)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2018.8526957"},{"key":"e_1_3_2_2_28_1","volume-title":"MS MARCO: A Human-Generated MAchine Reading COmprehension Dataset.","author":"Nguyen Tri","year":"2016","unstructured":"Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016. MS MARCO: A Human-Generated MAchine Reading COmprehension Dataset. (2016)."},{"key":"e_1_3_2_2_29_1","first-page":"2832","article-title":"What You Seek Is What You Get: Extraction of Class Attributes from Query Logs","volume":"7","author":"Pasca Marius","year":"2007","unstructured":"Marius Pasca and Benjamin Van Durme. 2007. What You Seek Is What You Get: Extraction of Class Attributes from Query Logs.. In IJCAI, Vol. 7. 2832--2837.","journal-title":"IJCAI"},{"key":"e_1_3_2_2_30_1","volume-title":"Natural language processing and text mining","author":"Popescu Ana-Maria","unstructured":"Ana-Maria Popescu and Orena Etzioni. 2007. Extracting product features and opinions from reviews. In Natural language processing and text mining. Springer, 9--28."},{"key":"e_1_3_2_2_31_1","volume-title":"100,000+ questions for machine comprehension of text. arXiv preprint arXiv:1606.05250","author":"Rajpurkar Pranav","year":"2016","unstructured":"Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016. Squad: 100,000+ questions for machine comprehension of text. arXiv preprint arXiv:1606.05250 (2016)."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.14778\/3157794.3157797"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1079"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v13i01.3243"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"crossref","unstructured":"Vidya Setlur Melanie Tory and Alex Djalali. 2019. Inferencing underspecified natural language utterances in visual analysis.. In IUI. 40--51.","DOI":"10.1145\/3301275.3302270"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148196"},{"key":"e_1_3_2_2_37_1","volume-title":"An empirical analysis of multiple-turn reasoning strategies in reading comprehension tasks. arXiv preprint arXiv:1711.03230","author":"Shen Yelong","year":"2017","unstructured":"Yelong Shen, Xiaodong Liu, Kevin Duh, and Jianfeng Gao. 2017. An empirical analysis of multiple-turn reasoning strategies in reading comprehension tasks. arXiv preprint arXiv:1711.03230 (2017)."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/VL.1996.545307"},{"key":"e_1_3_2_2_39_1","volume-title":"Khyathi Raghavi Chandu, and Eric Nyberg","author":"Wadhwa Soumya","year":"2018","unstructured":"Soumya Wadhwa, Khyathi Raghavi Chandu, and Eric Nyberg. 2018. Comparative Analysis of Neural QA models on SQuAD. arXiv preprint arXiv:1806.06972 (2018)."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2058"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1073"},{"key":"e_1_3_2_2_42_1","volume-title":"Simple and Effective Text Matching with Richer Alignment Features","author":"Yang Runqi","unstructured":"Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, and Haiqing Chen. 2019. Simple and Effective Text Matching with Richer Alignment Features. In Association for Computational Linguistics (ACL)."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-30162-4_175"},{"key":"e_1_3_2_2_44_1","volume-title":"Manifold: A model-agnostic framework for interpretation and diagnosis of machine learning models","author":"Zhang Jiawei","year":"2018","unstructured":"Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, and David S Ebert. 2018. Manifold: A model-agnostic framework for interpretation and diagnosis of machine learning models. IEEE transactions on visualization and computer graphics 25, 1 (2018), 364--373."}],"event":{"name":"CHI '20: CHI Conference on Human Factors in Computing Systems","location":"Honolulu HI USA","acronym":"CHI '20","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3313831.3376451","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3313831.3376451","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:34Z","timestamp":1750199914000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3313831.3376451"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,21]]},"references-count":44,"alternative-id":["10.1145\/3313831.3376451","10.1145\/3313831"],"URL":"https:\/\/doi.org\/10.1145\/3313831.3376451","relation":{},"subject":[],"published":{"date-parts":[[2020,4,21]]},"assertion":[{"value":"2020-04-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}