{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:03:02Z","timestamp":1742997782807,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030503154"},{"type":"electronic","value":"9783030503161"}],"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\/978-3-030-50316-1_39","type":"book-chapter","created":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T09:02:48Z","timestamp":1592989368000},"page":"562-568","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Towards an Academic Abstract Sentence Classification System"],"prefix":"10.1007","author":[{"given":"Connor","family":"Stead","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen","family":"Smith","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Busch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Savanid","family":"Vatanasakdakul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,25]]},"reference":[{"issue":"1","key":"39_CR1","first-page":"11","volume":"17","author":"L Bayley","year":"2003","unstructured":"Bayley, L., Eldredge, J.: The structured abstract: an essential tool for researchers. Hypothesis 17(1), 11\u201313 (2003). PMID: 15858627","journal-title":"Hypothesis"},{"issue":"4","key":"39_CR2","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/s10664-008-9075-7","volume":"13","author":"D Budgen","year":"2008","unstructured":"Budgen, D., Kitchenham, B.A., Charters, S.M., Turner, M., Brereton, P., Linkman, S.G.: Presenting software engineering results using structured abstracts: a randomised experiment. Empirical Softw. Eng. 13(4), 435\u2013468 (2008). \nhttps:\/\/doi.org\/10.1007\/s10664-008-9075-7","journal-title":"Empirical Softw. Eng."},{"issue":"2","key":"39_CR3","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1007\/s10664-010-9139-3","volume":"16","author":"D Budgen","year":"2011","unstructured":"Budgen, D., Burn, A.J., Kitchenham, B.: Reporting computing projects through structured abstracts: a quasi-experiment. Empirical Softw. Eng. 16(2), 244\u2013277 (2011). \nhttps:\/\/doi.org\/10.1007\/s10664-010-9139-3","journal-title":"Empirical Softw. Eng."},{"key":"39_CR4","unstructured":"Cohan, A., Beltagy, I., King, D., Dalvi, B., Weld, D.S.: Pretrained language models for sequential sentence classification (2019). arXiv preprint \narXiv:1909.04054"},{"key":"39_CR5","unstructured":"Dernoncourt, F., Lee, J.Y.: PubMed 200k RCT: a dataset for sequential sentence classification in medical abstracts (2017). arXiv preprint \narXiv:1710.06071"},{"key":"39_CR6","unstructured":"Dernoncourt, F., Lee, J.Y., Szolovits, P.: Neural networks for joint sentence classification in medical paper abstracts (2016). arXiv preprint \narXiv:1612.05251"},{"issue":"3","key":"39_CR7","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1108\/07378830610692118","volume":"24","author":"J Eldredge","year":"2006","unstructured":"Eldredge, J.: Evidence-based librarianship: the EBL process. Libr. Hi Tech 24(3), 341\u2013354 (2006). \nhttps:\/\/doi.org\/10.1108\/07378830610692118","journal-title":"Libr. Hi Tech"},{"key":"39_CR8","doi-asserted-by":"publisher","first-page":"6793","DOI":"10.1007\/s00521-019-04334-2","volume":"32","author":"S Gon\u00e7alves","year":"2019","unstructured":"Gon\u00e7alves, S., Cortez, P., Moro, S.: A deep learning classifier for sentence classification in biomedical and computer science abstracts. Neural Comput. Appl. 32, 6793\u20136807 (2019). \nhttps:\/\/doi.org\/10.1007\/s00521-019-04334-2","journal-title":"Neural Comput. Appl."},{"issue":"1","key":"39_CR9","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/s11192-018-2958-5","volume":"118","author":"M Gusenbauer","year":"2019","unstructured":"Gusenbauer, M.: Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases. Scientometrics 118(1), 177\u2013214 (2019). \nhttps:\/\/doi.org\/10.1007\/s11192-018-2958-5","journal-title":"Scientometrics"},{"issue":"4","key":"39_CR10","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1087\/09531519750146789","volume":"10","author":"J Hartley","year":"1997","unstructured":"Hartley, J.: Is it appropriate to use structured abstracts in social science journals? Learn. Publish. 10(4), 313\u2013317 (1997). \nhttps:\/\/doi.org\/10.1087\/09531519750146789","journal-title":"Learn. Publish."},{"issue":"5","key":"39_CR11","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1177\/016555159602200503","volume":"22","author":"J Hartley","year":"1996","unstructured":"Hartley, J., Sydes, M., Blurton, A.: Obtaining information accurately and quickly: are structured abstracts more efficient? J. Inform. Sci. 22(5), 349\u2013356 (1996). \nhttps:\/\/doi.org\/10.1177\/016555159602200503","journal-title":"J. Inform. Sci."},{"key":"39_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1007\/978-3-030-32236-6_7","volume-title":"Natural Language Processing and Chinese Computing","author":"X Jiang","year":"2019","unstructured":"Jiang, X., Zhang, B., Ye, Y., Liu, Z.: A hierarchical model with recurrent convolutional neural networks for sequential sentence classification. In: Tang, J., Kan, M.-Y., Zhao, D., Li, S., Zan, H. (eds.) NLPCC 2019. LNCS (LNAI), vol. 11839, pp. 78\u201389. Springer, Cham (2019). \nhttps:\/\/doi.org\/10.1007\/978-3-030-32236-6_7"},{"issue":"2","key":"39_CR13","first-page":"237","volume":"93","author":"T Nakayama","year":"2005","unstructured":"Nakayama, T., Hirai, N., Yamazaki, S., Naito, M.: Adoption of structured abstracts by general medical journals and format for a structured abstract. J. Med. Libr. Assoc. 93(2), 237 (2005). PMID: 15858627","journal-title":"J. Med. Libr. Assoc."},{"key":"39_CR14","unstructured":"Stead, C., Smith, S., Busch, P., Vatanasakdakul, S.: Emerald 110k: a multidisciplinary dataset for abstract sentence classification. Paper presented at the Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association, pp. 120\u2013125 (2019)"},{"key":"39_CR15","unstructured":"Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov, R., Le, Q.V.: XLNet: generalized autoregressive pretraining for language understanding. In: 33rd Conference on Neural Information Processing Systems, pp. 5754\u20135764 (2019)"}],"container-title":["Lecture Notes in Business Information Processing","Research Challenges in Information Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50316-1_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T09:12:19Z","timestamp":1592989939000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-50316-1_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030503154","9783030503161"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50316-1_39","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"25 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RCIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Research Challenges in Information Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","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":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rcis2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.rcis-conf.com\/rcis2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"106","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":"26","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":"3","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":"3.05","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":"6","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":"There are also 12 poster and demo papers, and 4 Doctoral Consortium papers","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)"}}]}}