{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:59:05Z","timestamp":1743040745577,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030869595"},{"type":"electronic","value":"9783030869601"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/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":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86960-1_48","type":"book-chapter","created":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T07:02:59Z","timestamp":1631257379000},"page":"648-656","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A LSTM Recurrent Neural Network Implementation for Classifying Entities on Brazilian Legal Documents"],"prefix":"10.1007","author":[{"given":"Rafael Mecheseregian","family":"Razeira","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ildeberto Aparecido","family":"Rodello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,11]]},"reference":[{"key":"48_CR1","unstructured":"Laudon, K., Laudon, J.: Sistemas de informa\u00e7\u00f5es gerenciais. 11a. ed. [s.l.] Pearson\/Prentice Hall, Upper Saddle River (2015)"},{"issue":"5","key":"48_CR2","doi-asserted-by":"publisher","first-page":"26","DOI":"10.3390\/fi10050037","volume":"10","author":"N Lettieri","year":"2018","unstructured":"Lettieri, N., et al.: Ex machina: analytical platforms, law and the challenges of computational legal science. Future Internet 10(5), 26 (2018)","journal-title":"Future Internet"},{"key":"48_CR3","doi-asserted-by":"crossref","unstructured":"Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press (1995). ISBN: 0198538642","DOI":"10.1093\/oso\/9780198538493.001.0001"},{"key":"48_CR4","unstructured":"Grimm, C.: Dosimetria da pena utilizando redes neurais. Monografia. Curso de Direito. Universidade Federal do Paran\u00e1. Curitiba (2006)"},{"key":"48_CR5","unstructured":"Lossio, C.J.B.: O anticrime nas redes sociais: os algoritmos e a rede neural artificial (RNA) em face do cybercrime\u200b (2017)"},{"key":"48_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/978-3-319-99722-3_32","volume-title":"Computational Processing of the Portuguese Language","author":"P Luz","year":"2018","unstructured":"Luz, P., de Araujo, T., Campos, R., Oliveira, M., Couto, S., Bermejo, P.: Lener-br: a dataset for named entity recognition in brazilian legal text. In: Villavicencio, A., et al. (eds.) PROPOR 2018. LNCS (LNAI), vol. 11122, pp. 313\u2013323. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99722-3_32"},{"key":"48_CR7","unstructured":"Ventura, C.A.A., et al.: Justi\u00e7a Pesquisa - Media\u00e7\u00f5es e Concilia\u00e7\u00f5es Avaliadas Empiricamente. https:\/\/www.cnj.jus.br\/wp-content\/uploads\/2011\/02\/e1d2138e482686bc5b66d18f0b0f4b16.pdf&gt, Acessed 15 Jan 2021"},{"key":"48_CR8","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/978-94-017-2390-9_10","volume-title":"Natural language processing using very large corpora","author":"LA Ramshaw","year":"1999","unstructured":"Ramshaw, L.A., Marcus, M.P.: Text chunking using transformation-based learning. In: Armstrong, S., Church, K., Isabelle, P., Manzi, S., Tzoukermann, E., Yarowsky, D. (eds.) Natural language processing using very large corpora, pp. 157\u2013176. Springer Netherlands, Dordrecht (1999). https:\/\/doi.org\/10.1007\/978-94-017-2390-9_10"},{"key":"48_CR9","unstructured":"Tensorflow. https:\/\/www.tensorflow.org\/, Accessed 12 Aug 2020"},{"key":"48_CR10","unstructured":"Keras. https:\/\/keras.io, Accessed 12 Aug 2020"},{"issue":"2","key":"48_CR11","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/72.279181","volume":"5","author":"Y Bengio","year":"1994","unstructured":"Bengio, Y., Simard, P., Frasconi, P.: Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Netw. 5(2), 157\u2013166 (1994)","journal-title":"IEEE Trans. Neural Netw."},{"key":"48_CR12","unstructured":"Dwarampudi, M., Reddy, N.V.: Effects of padding on LSTMs and CNNs. arXiv preprint arXiv:1903.07288 (2019)"},{"issue":"8","key":"48_CR13","doi-asserted-by":"publisher","first-page":"1965","DOI":"10.1007\/s10489-017-0920-5","volume":"48","author":"A Akkasi","year":"2017","unstructured":"Akkasi, A., Varo\u011flu, E., Dimililer, N.: Balanced undersampling: a novel sentence-based undersampling method to improve recognition of named entities in chemical and biomedical text. Appl. Intell. 48(8), 1965\u20131978 (2017)","journal-title":"Appl. Intell."},{"issue":"4","key":"48_CR14","first-page":"42","volume":"2","author":"V Ganganwar","year":"2012","unstructured":"Ganganwar, V.: An overview of classification algorithms for imbalanced datasets. Int. J. Emerg. Technol. Adv. Eng. 2(4), 42\u201347 (2012)","journal-title":"Int. J. Emerg. Technol. Adv. Eng."},{"key":"48_CR15","unstructured":"Kingma, D.P., Jimmy, B.A.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86960-1_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T16:36:27Z","timestamp":1699461387000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86960-1_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030869595","9783030869601"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86960-1_48","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":"11 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"13 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccsa.org\/","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":"Customed version of CyberChair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1588","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":"466","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":"18","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":"29% - 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":"2,5","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":"8","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)"}}]}}