{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T06:54:23Z","timestamp":1742972063848,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030600280"},{"type":"electronic","value":"9783030600297"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-60029-7_32","type":"book-chapter","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T23:07:40Z","timestamp":1600729660000},"page":"341-351","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Interpretable Text-to-SQL Generation with Joint Optimization"],"prefix":"10.1007","author":[{"given":"Mingdong","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianfang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"32_CR1","doi-asserted-by":"publisher","unstructured":"Min, S., Chen, D., Hajishirzi, H., Zettlemoyer, L.: A discrete hard EM approach for weakly supervised question answering. In: 2019 Conference on Empirical Methods in Natural Language Processing & International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 2851\u20132864. ACL (2019). https:\/\/doi.org\/10.18653\/v1\/d19-1284","DOI":"10.18653\/v1\/d19-1284"},{"key":"32_CR2","doi-asserted-by":"publisher","unstructured":"Han, Z., Jiang, X., Li, M., et al.: An integrated semantic-syntactic SBLSTM model for aspect specific opinion extraction. In: 15th International Conference of Web Information Systems and Applications, pp. 191\u2013199. WISA (2018). https:\/\/doi.org\/10.1007\/978-3-030-02934-0_18","DOI":"10.1007\/978-3-030-02934-0_18"},{"key":"32_CR3","unstructured":"He, P., Mao, Y., Chakrabarti, K., Chen, W.: X-SQL: reinforce schema representation with context. CoRR abs\/1908.08113 (2019)"},{"key":"32_CR4","doi-asserted-by":"publisher","unstructured":"Dong, L., Lapata, M.: Coarse-to-fine decoding for neural semantic parsing. In: 56th Annual Meeting of the Association for Computational Linguistics, pp. 731\u2013742. ACL (2018). https:\/\/doi.org\/10.18653\/v1\/p18-1068","DOI":"10.18653\/v1\/p18-1068"},{"key":"32_CR5","unstructured":"Berant, J., Chou, A., Frostig, R., et al.: Semantic parsing on freebase from Question-Answer pairs. In: 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1533\u20131544. ACL (2013). Doi:10.1.1.408.319"},{"key":"32_CR6","doi-asserted-by":"publisher","unstructured":"Krishnamurthy, J., Dasigi, P., Gardner, M.: Neural semantic parsing with type constraints for semi-structured tables. In: 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1516\u20131526. ACL (2017). https:\/\/doi.org\/10.18653\/v1\/d17-1160","DOI":"10.18653\/v1\/d17-1160"},{"key":"32_CR7","doi-asserted-by":"publisher","unstructured":"Iyyer, M., Yih, W., Chang, M.: Search-based neural structured learning for sequential question answering. In: 2017 Annual Meeting of the Association for Computational Linguistics, pp. 1821\u20131831. ACL (2017). https:\/\/doi.org\/10.18653\/v1\/p17-1167","DOI":"10.18653\/v1\/p17-1167"},{"key":"32_CR8","unstructured":"Liang, C., Norouzi, M., Berant, J., et al.: Memory augmented policy optimization for program synthesis and semantic parsing. In: 32rd Conference on Neural Information Processing Systems (NeurIPS), pp. 10015\u201310027. (NIPS) (2018)"},{"key":"32_CR9","unstructured":"Zhong, V., Xiong, C., Socher, R.: Seq2sql: generating structured queries from natural language using reinforcement learning. CoRR, abs\/1709.00103 (2017)"},{"key":"32_CR10","unstructured":"Wang, W., Tian, Y., Xiong, H., et al.: A transfer-learnable natural language interface for databases. CoRR, abs\/1809.02649 (2018)"},{"key":"32_CR11","unstructured":"Wang, C., Huang, P., Polozov, A., et al.: Execution-Guided neural program decoding. CoRR, abs\/1807.03100 (2018)"},{"key":"32_CR12","unstructured":"Clark, K., Luong, M., Le, Q., et al.: ELECTRA: pre-training text encoders as discriminators rather than generators. In: 8th International Conference on Learning Representations (ICLR) (2020)"},{"key":"32_CR13","unstructured":"Wang, C., Tatwawadi, K., Brockschmidt, M.: Robust Text-to-SQL generation with execution-guided decoding. CoRR, abs\/ 1807.03100 (2018)"},{"key":"32_CR14","doi-asserted-by":"publisher","unstructured":"Zhou, P., Shi, W., Tian, J., et al.: Attention-based bidirectional long short-term memory networks for relation classification. In: 2016 Annual Meeting of the Association for Computational Linguistics, pp. 207\u2013212. ACL (2016). https:\/\/doi.org\/10.18653\/v1\/p16-2034","DOI":"10.18653\/v1\/p16-2034"},{"key":"32_CR15","doi-asserted-by":"publisher","unstructured":"Schulman, J., Heess, N., Weber, T., et al.: Gradient estimation using stochastic computation graphs. In: 29th Annual Conference on Neural Information Processing Systems, pp. 3528\u20133536. NIPS (2015). https:\/\/doi.org\/10.5555\/2969442.2969633","DOI":"10.5555\/2969442.2969633"},{"key":"32_CR16","doi-asserted-by":"publisher","unstructured":"Dahl, D., Bates, M., Brown, M., et al.: Expanding the scope of the ATIS task: the ATIS-3 corpus. In: Proceedings of the workshop on Human Language Technology(HLT), pp. 43-48. ACM (1994). https:\/\/doi.org\/10.3115\/1075812.1075823","DOI":"10.3115\/1075812.1075823"},{"key":"32_CR17","unstructured":"Shi, T., Tatwawadi, K., Chakrabarti, K., et al.: IncSQL: training incremental Text-to-SQL parsers with non-deterministic oracles. CoRR abs\/1809.05054 (2018)"},{"key":"32_CR18","unstructured":"Hwang, W., Yim, J., Park, S., et al.: A comprehensive exploration on WikiSQL with table-aware word contextualization. CoRR abs\/1902.01069 (2019)"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60029-7_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:43:17Z","timestamp":1709811797000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-60029-7_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030600280","9783030600297"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60029-7_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wisa22020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wisa.pmease.cn\/wisa2020\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CCF Consys","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"165","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.6","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7.2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}