{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T21:39:59Z","timestamp":1777412399894,"version":"3.51.4"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031346736","type":"print"},{"value":"9783031346743","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-34674-3_13","type":"book-chapter","created":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T20:32:15Z","timestamp":1686169935000},"page":"103-111","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Cicero: An AI-Based Writing Assistant for\u00a0Legal Users"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9896-2528","authenticated-orcid":false,"given":"Francesca","family":"De Luzi","sequence":"first","affiliation":[]},{"given":"Mattia","family":"Macr\u00ec","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9730-8882","authenticated-orcid":false,"given":"Massimo","family":"Mecella","sequence":"additional","affiliation":[]},{"given":"Tommaso","family":"Mencattini","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,8]]},"reference":[{"key":"13_CR1","series-title":"Advances in Analytics and Data Science","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/978-3-319-95663-3_4","volume-title":"Practical Text Analytics","author":"M Anandarajan","year":"2019","unstructured":"Anandarajan, M., Hill, C., Nolan, T.: Text Preprocessing. In: Anandarajan, M., Hill, C., Nolan, T., et al. (eds.) Practical Text Analytics. AADS, vol. 2, pp. 45\u201359. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-95663-3_4"},{"key":"13_CR2","unstructured":"Bao, H., et al.: UniLMv2: pseudo-masked language models for unified language model pre-training. In: International Conference on Machine Learning, pp. 642\u2013652. PMLR (2020)"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Chalkidis, I., Fergadiotis, M., Malakasiotis, P., Aletras, N., Androutsopoulos, I.: LEGAL-BERT: the muppets straight out of law school. arXiv preprint arXiv:2010.02559 (2020)","DOI":"10.18653\/v1\/2020.findings-emnlp.261"},{"key":"13_CR4","first-page":"1","volume":"26","author":"Council of Europe","year":"2018","unstructured":"Council of Europe: European judicial systems: efficiency and quality of justice. CEPEJ Stud. 26, 1\u2013338 (2018)","journal-title":"CEPEJ Stud."},{"issue":"4","key":"13_CR5","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1017\/S1351324921000164","volume":"27","author":"R Dale","year":"2021","unstructured":"Dale, R., Viethen, J.: The automated writing assistance landscape in 2021. Nat. Lang. Eng. 27(4), 511\u2013518 (2021)","journal-title":"Nat. Lang. Eng."},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"De Mattei, L., Cafagna, M., Dell\u2019Orletta, F., Nissim, M., Guerini, M.: GePpeTto carves Italian into a language model. In: 7th Italian Conference on Computational Linguistics, CLiC-it 2020 (2020)","DOI":"10.4000\/books.aaccademia.8438"},{"key":"13_CR7","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1007\/978-3-030-50454-0_55","volume-title":"Complex, Intelligent and Software Intensive Systems","author":"B Di Martino","year":"2021","unstructured":"Di Martino, B., Marulli, F., Lupi, P., Cataldi, A.: A machine learning based methodology for automatic annotation and anonymisation of privacy-related items in textual documents for justice domain. In: Barolli, L., Poniszewska-Maranda, A., Enokido, T. (eds.) CISIS 2020. AISC, vol. 1194, pp. 530\u2013539. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-50454-0_55"},{"key":"13_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10632-8","volume-title":"An Introduction to Design Science","author":"P Johannesson","year":"2014","unstructured":"Johannesson, P., Perjons, E.: An Introduction to Design Science. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10632-8"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Kalyan, K.S., Rajasekharan, A., Sangeetha, S.: AMMUS: a survey of transformer-based pretrained models in natural language processing. arXiv preprint arXiv:2108.05542 (2021)","DOI":"10.1016\/j.jbi.2021.103982"},{"key":"13_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2020.101151","volume":"67","author":"C van der Lee","year":"2021","unstructured":"van der Lee, C., Gatt, A., van Miltenburg, E., Krahmer, E.: Human evaluation of automatically generated text: current trends and best practice guidelines. Comput. Speech Lang. 67, 101151 (2021)","journal-title":"Comput. Speech Lang."},{"key":"13_CR11","unstructured":"Leivaditi, S., Rossi, J., Kanoulas, E.: A benchmark for lease contract review. arXiv preprint arXiv:2010.10386 (2020)"},{"key":"13_CR12","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.aiopen.2022.10.001","volume":"3","author":"T Lin","year":"2022","unstructured":"Lin, T., Wang, Y., Liu, X., Qiu, X.: A survey of transformers. AI Open 3, 111\u2013132 (2022)","journal-title":"AI Open"},{"issue":"2","key":"13_CR13","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/s10506-019-09243-2","volume":"27","author":"M Lippi","year":"2019","unstructured":"Lippi, M., et al.: CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service. Artif. Intell. Law 27(2), 117\u2013139 (2019). https:\/\/doi.org\/10.1007\/s10506-019-09243-2","journal-title":"Artif. Intell. Law"},{"issue":"10","key":"13_CR14","first-page":"237","volume":"1","author":"N Mahajan","year":"2015","unstructured":"Mahajan, N.: E-governance: its role, importance and challenges. Int. J. Curr. Innov. Res. 1(10), 237\u2013243 (2015)","journal-title":"Int. J. Curr. Innov. Res."},{"key":"13_CR15","unstructured":"Peric, L., Mijic, S., Stammbach, D., Ash, E.: Legal language modeling with transformers. In: 4th Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2020), vol. 2764. CEUR-WS (2020)"},{"issue":"8","key":"13_CR16","first-page":"9","volume":"1","author":"A Radford","year":"2019","unstructured":"Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al.: Language models are unsupervised multitask learners. OpenAI Blog 1(8), 9 (2019)","journal-title":"OpenAI Blog"},{"key":"13_CR17","unstructured":"Sarti, G., Nissim, M.: IT5: large-scale text-to-text pretraining for Italian language understanding and generation (2022)"},{"key":"13_CR18","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/s10506-021-09301-8","volume":"30","author":"A Tagarelli","year":"2022","unstructured":"Tagarelli, A., Simeri, A.: Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code. Artif. Intell. Law 30, 417\u2013473 (2022). https:\/\/doi.org\/10.1007\/s10506-021-09301-8","journal-title":"Artif. Intell. Law"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"de Vries, W., Nissim, M.: As good as new. How to successfully recycle English GPT-2 to make models for other languages. arXiv preprint arXiv:2012.05628 (2020)","DOI":"10.18653\/v1\/2021.findings-acl.74"},{"key":"13_CR20","unstructured":"Zhao, W.X., et al.: A survey of large language models. arXiv preprint arXiv:2303.18223 (2023)"}],"container-title":["Lecture Notes in Business Information Processing","Intelligent Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34674-3_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T20:33:20Z","timestamp":1686170000000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34674-3_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031346736","9783031346743"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34674-3_13","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"value":"1865-1348","type":"print"},{"value":"1865-1356","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"8 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAiSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zaragoza","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"35","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2023","order":10,"name":"conference_id","label":"Conference ID","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":"161","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":"36","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":"0","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":"22% - 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":"2.63","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":"5","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":"For the CAISE 2023 Forum 18 papers have been accepted from a total of 25 submissions. For the CAISE workshops 10 full and 9 short papers have been accepted from 25 submissions.","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)"}}]}}