{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:50:28Z","timestamp":1747198228291,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030731960"},{"type":"electronic","value":"9783030731977"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-73197-7_13","type":"book-chapter","created":{"date-parts":[[2021,4,6]],"date-time":"2021-04-06T19:03:01Z","timestamp":1617735781000},"page":"202-218","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-task Neural Shared Structure Search: A Study Based on Text Mining"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4997-3850","authenticated-orcid":false,"given":"Jiyi","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7858-6206","authenticated-orcid":false,"given":"Fumiyo","family":"Fukumoto","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,4,6]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. arXiv preprint arXiv:1607.04606 (2016)","DOI":"10.1162\/tacl_a_00051"},{"key":"13_CR2","series-title":"Fascinating Life Sciences","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/978-3-319-50627-2_6","volume-title":"Scientific Scholarly Communication","author":"PUK De Silva","year":"2017","unstructured":"De Silva, P.U.K., K. Vance, C.: Preserving the quality of scientific research: peer review of research articles. Scientific Scholarly Communication. FLS, pp. 73\u201399. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-50627-2_6"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Dong, F., Zhang, Y.: Automatic features for essay scoring - an empirical study. In: EMNLP, pp. 1072\u20131077 (2016)","DOI":"10.18653\/v1\/D16-1115"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Dong, F., Zhang, Y., Yang, J.: Attention-based recurrent convolutional neural network for automatic essay scoring. In: CoNLL, pp. 153\u2013162 (2017)","DOI":"10.18653\/v1\/K17-1017"},{"key":"13_CR5","first-page":"1","volume":"20","author":"T Elsken","year":"2019","unstructured":"Elsken, T., Metzen, J.H., Hutter, F.: Neural architecture search: a survey. J. Mach. Learn. Res. 20, 1\u201321 (2019)","journal-title":"J. Mach. Learn. Res."},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Ghosal, T., Verma, R., Ekbal, A., Bhattacharyya, P.: DeepSentiPeer: harnessing sentiment in review texts to recommend peer review decisions. In: ACL, pp. 1120\u20131130 (2019)","DOI":"10.18653\/v1\/P19-1106"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Guo, H., Pasunuru, R., Bansal, M.: Soft layer-specific multi-task summarization with entailment and question generation. In: ACL, pp. 687\u2013697 (2018)","DOI":"10.18653\/v1\/P18-1064"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Hershcovich, D., Abend, O., Rappoport, A.: Multitask parsing across semantic representations. In: ACL, pp. 373\u2013385 (2018)","DOI":"10.18653\/v1\/P18-1035"},{"key":"13_CR9","unstructured":"Huang, J.B.: Deep paper gestalt. arXiv preprint arXiv:1812.08775 (2018)"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Isonuma, M., Fujino, T., Mori, J., Matsuo, Y., Sakata, I.: Extractive summarization using multi-task learning with document classification. In: ACL, pp. 2101\u20132110 (2017)","DOI":"10.18653\/v1\/D17-1223"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Johnson, R., Zhang, T.: Deep pyramid convolutional neural networks for text classification. In: ACL, pp. 562\u2013570 (2017)","DOI":"10.18653\/v1\/P17-1052"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Joulin, A., Grave, E., Bojanowski, P., Mikolov, T.: Bag of tricks for efficient text classification. arXiv preprint arXiv:1607.01759 (2016)","DOI":"10.18653\/v1\/E17-2068"},{"key":"13_CR13","first-page":"1647","volume":"1","author":"D Kang","year":"2018","unstructured":"Kang, D., Ammar, W., Dalvi, B., van Zuylen, M., Kohlmeier, S., Hovy, E., Schwartz, R.: A dataset of peer reviews (PeerRead): collection, insights and NLP applications. NAACL. 1, 1647\u20131661 (2018)","journal-title":"NAACL."},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: EMNLP. pp. 1746\u20131751 (2014)","DOI":"10.3115\/v1\/D14-1181"},{"issue":"4","key":"13_CR15","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1145\/2732417","volume":"58","author":"J Langford","year":"2015","unstructured":"Langford, J., Guzdial, M.: The arbitrariness of reviews, and advice for school administrators. Commun. ACM 58(4), 12\u201313 (2015)","journal-title":"Commun. ACM"},{"key":"13_CR16","first-page":"799","volume":"1","author":"Y Lin","year":"2018","unstructured":"Lin, Y., Yang, S., Stoyanov, V., Ji, H.: A multi-lingual multi-task architecture for low-resource sequence labeling. ACL. 1, 799\u2013809 (2018)","journal-title":"ACL."},{"key":"13_CR17","unstructured":"Liu, H., Simonyan, K., Yang, Y.: Darts: Differentiable architecture search. arXiv preprint arXiv:1806.09055 (2018)"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Liu, J., Chang, W.C., Wu, Y., Yang, Y.: Deep learning for extreme multi-label text classification. In: SIGIR, pp. 115\u2013124 (2017)","DOI":"10.1145\/3077136.3080834"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Liu, P., Qiu, X., Huang, X.: Adversarial multi-task learning for text classification. In: ACL, pp. 1\u201310 (2017)","DOI":"10.18653\/v1\/P17-1001"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Liu, X., He, P., Chen, W., Gao, J.: Multi-task deep neural networks for natural language understanding. In: ACL, pp. 4487\u20134496 (2019)","DOI":"10.18653\/v1\/P19-1441"},{"key":"13_CR21","doi-asserted-by":"crossref","unstructured":"Lu, Y., Kumar, A., Zhai, S., Cheng, Y., Javidi, T., Feris, R.S.: Fully-adaptive feature sharing in multi-task networks with applications in person attribute classification. In: CVPR, pp. 1131\u20131140 (2017)","DOI":"10.1109\/CVPR.2017.126"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Luan, Y., He, L., Ostendorf, M., Hajishirzi, H.: Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction. In: EMNLP, pp. 3219\u20133232 (2018)","DOI":"10.18653\/v1\/D18-1360"},{"key":"13_CR23","unstructured":"McCann, B., Keskar, N., Xiong, C., Socher, R.: The natural language decathlon: multitask learning as question answering. arXiv preprint arXiv:1806:08730 (2018)"},{"key":"13_CR24","doi-asserted-by":"crossref","unstructured":"Pasunuru, R., Bansal, M.: Continual and multi-task architecture search. In: ACL, pp. 1911\u20131922 (2019)","DOI":"10.18653\/v1\/P19-1185"},{"key":"13_CR25","unstructured":"Ruder, S.: An overview of multi-task learning in deep neural networks. arXiv preprint arXiv:1706.05098 (2017)"},{"key":"13_CR26","unstructured":"Sener, O., Koltun, V.: Multi-task learning as multi-objective optimization. In: NIPS, pp. 525\u2013536 (2018)"},{"key":"13_CR27","unstructured":"Snoek, J., Larochelle, H., Adams, R.P.: Practical Bayesian optimization of machine learning algorithms. In: NIPS, pp. 2951\u20132959 (2012)"},{"key":"13_CR28","doi-asserted-by":"crossref","unstructured":"Wang, A., Singh, A., Michael, J., Hill, F., Levy, O., Bowman, S.R.: GLUE: a multi-task benchmark and analysis platform for natural language understanding. arXiv preprint arXiv:1804.07461 (2019)","DOI":"10.18653\/v1\/W18-5446"},{"key":"13_CR29","doi-asserted-by":"crossref","unstructured":"Wang, K., Wan, X.: Sentiment analysis of peer review texts for scholarly papers. In: SIGIR, pp. 175\u2013184 (2018)","DOI":"10.1145\/3209978.3210056"},{"key":"13_CR30","unstructured":"Xiong, W., Litman, D.J.: Automatically predicting peer-review helpfulness. In: ACL-HLT, pp. 502\u2013507 (2011)"},{"key":"13_CR31","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yang, Q.: Learning sparse task relations in multi-task learning. In: AAAI, pp. 2914\u20132920 (2017)","DOI":"10.1609\/aaai.v31i1.10820"},{"key":"13_CR32","unstructured":"Zoph, B., Le, Q.V.: Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578 (2016)"},{"key":"13_CR33","doi-asserted-by":"crossref","unstructured":"Zoph, B., Vasudevan, V., Shlens, J., Le, Q.V.: Learning transferable architectures for scalable image recognition. In: CVPR, pp. 8697\u20138710 (2018)","DOI":"10.1109\/CVPR.2018.00907"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-73197-7_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T14:56:51Z","timestamp":1671807411000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-73197-7_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030731960","9783030731977"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-73197-7_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"6 April 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taipei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/dm.iis.sinica.edu.tw\/DASFAA2021\/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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"490","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":"98","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":"33","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":"20% - 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":"4","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","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)"}},{"value":"Due to the Corona pandemic this event was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}