{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:55:56Z","timestamp":1742975756847,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031133237"},{"type":"electronic","value":"9783031133244"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-13324-4_23","type":"book-chapter","created":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T20:21:50Z","timestamp":1659558110000},"page":"266-277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards the\u00a0Creation of\u00a0AI-powered Queries Using Transfer Learning on\u00a0NLP Model - The THESPIAN-NER Experience"],"prefix":"10.1007","author":[{"given":"Alessandro","family":"Bombini","sequence":"first","affiliation":[]},{"given":"Lisa","family":"Castelli","sequence":"additional","affiliation":[]},{"given":"Achille","family":"Felicetti","sequence":"additional","affiliation":[]},{"given":"Franco","family":"Niccolucci","sequence":"additional","affiliation":[]},{"given":"Anna","family":"Reccia","sequence":"additional","affiliation":[]},{"given":"Francesco","family":"Taccetti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,8,4]]},"reference":[{"key":"23_CR1","doi-asserted-by":"publisher","unstructured":"Bekiari, C., Bruseker, G., Doerr, M., Oreand, C.E., Stead, S., Velios, A.: CIDOC CRM. International Committee for Documentation (CIDOC) of the International Council of Museums (ICOM). Version 7.1.1. https:\/\/doi.org\/10.26225\/FDZH-X261","DOI":"10.26225\/FDZH-X261"},{"key":"23_CR2","unstructured":"Bombini, A., et al.: CHNet cloud: an EOSC-based cloud for physical technologies applied to cultural heritages. In: GARR (ed.) Conferenza GARR 2021 - Sostenibile\/Digitale. Dati e tecnologie per il futuro, vol. selected papers. Associazione Consortium GARR, 10.26314\/GARR-Conf21-proceedings-09 (2021). https:\/\/doi.org\/10.26314\/GARR-Conf21-proceedings-09"},{"key":"23_CR3","unstructured":"Bosco, C., Lenci, A., Montemagni, S., Simi, M.: Universal dependencies 2.9 - italian corpus, LINDAT\/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (\u00daFAL), Faculty of Mathematics and Physics, Charles University (2021). http:\/\/hdl.handle.net\/11234\/1-4611,"},{"key":"23_CR4","unstructured":"Bosco, C., Montemagni, S., Simi, M.: Converting Italian treebanks: Towards an Italian Stanford dependency treebank. In: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, Sofia, Bulgaria, pp. 61\u201369. Association for Computational Linguistics, Aug 2013. https:\/\/aclanthology.org\/W13-2308"},{"key":"23_CR5","doi-asserted-by":"publisher","unstructured":"Castelli, L., Felicetti, A., Proietti, F.: Heritage science and cultural heritage: standards and tools for establishing cross-domain data interoperability (2019). https:\/\/doi.org\/10.1007\/s00799-019-00275-2","DOI":"10.1007\/s00799-019-00275-2"},{"key":"23_CR6","doi-asserted-by":"publisher","unstructured":"Ceccanti, A., Vianello, E., Caberletti, M., Giacomini, F.: Beyond x.509: token-based authentication and authorization for hep. EPJ Web Conf. 214, 09002 (2019). https:\/\/doi.org\/10.1051\/epjconf\/201921409002","DOI":"10.1051\/epjconf\/201921409002"},{"key":"23_CR7","doi-asserted-by":"publisher","unstructured":"Chiari, M., et al.: LABEC, the INFN ion beam laboratory of nuclear techniques for environment and cultural heritage. Eur. Phys. J. Plus 136(4), 472 (2021). https:\/\/doi.org\/10.1140\/epjp\/s13360-021-01411-1","DOI":"10.1140\/epjp\/s13360-021-01411-1"},{"key":"23_CR8","unstructured":"van Dalen-Oskam, K., et al.: Named entity recognition and resolution for literary studies. In: CLIN 2014 (2014)"},{"key":"23_CR9","unstructured":"DataCloud-Collaboration: INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Honnibal, M., Johnson, M.: An improved non-monotonic transition system for dependency parsing. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, pp. 1373\u20131378. Association for Computational Linguistics, Sept 2015. https:\/\/aclweb.org\/anthology\/D\/D15\/D15-1162","DOI":"10.18653\/v1\/D15-1162"},{"key":"23_CR11","doi-asserted-by":"publisher","unstructured":"Honnibal, M., et al.: Explosion\/spaCy: v2.1.7: Improved evaluation, better language factories and bug fixes, Aug 2019. https:\/\/doi.org\/10.5281\/zenodo.3358113","DOI":"10.5281\/zenodo.3358113"},{"key":"23_CR12","doi-asserted-by":"publisher","unstructured":"Honnibal, M., Montani, I., Van Landeghem, S., Boyd, A.: spaCy: industrial-strength Natural Language Processing in Python (2020). https:\/\/doi.org\/10.5281\/zenodo.1212303","DOI":"10.5281\/zenodo.1212303"},{"key":"23_CR13","doi-asserted-by":"publisher","unstructured":"van Hooland, S., De Wilde, M., Verborgh, R., Steiner, T., Van de Walle, R.: Exploring entity recognition and disambiguation for cultural heritage collections. Digital Sch. Humanit. 30(2), 262\u2013279 (2013). https:\/\/doi.org\/10.1093\/llc\/fqt067","DOI":"10.1093\/llc\/fqt067"},{"key":"23_CR14","unstructured":"(IETF): The OAuth 2.0 Authorization Framework (2012). https:\/\/datatracker.ietf.org\/doc\/html\/rfc6749"},{"key":"23_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/978-3-030-30760-8_10","volume-title":"Digital Libraries for Open Knowledge","author":"N Jain","year":"2019","unstructured":"Jain, N., Krestel, R.: Who is mona L.? identifying mentions of artworks in historical archives. In: Doucet, A., Isaac, A., Golub, K., Aalberg, T., Jatowt, A. (eds.) TPDL 2019. LNCS, vol. 11799, pp. 115\u2013122. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-30760-8_10"},{"key":"23_CR16","unstructured":"Klie, J.C., Bugert, M., Boullosa, B., de Castilho, R.E., Gurevych, I.: The inception platform: Machine-assisted and knowledge-oriented interactive annotation. In: Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pp. 5\u20139. Association for Computational Linguistics, June 2018. http:\/\/tubiblio.ulb.tu-darmstadt.de\/106270\/"},{"key":"23_CR17","unstructured":"Mesnil, G., et al.: Unsupervised and transfer learning challenge: a deep learning approach. In: Guyon, I., Dror, G., Lemaire, V., Taylor, G., Silver, D. (eds.) Proceedings of ICML Workshop on Unsupervised and Transfer Learning. Proceedings of Machine Learning Research, Bellevue, Washington, USA, vol. 27, pp. 97\u2013110. PMLR, 02 July 2012. https:\/\/proceedings.mlr.press\/v27\/mesnil12a.html"},{"key":"23_CR18","doi-asserted-by":"publisher","unstructured":"Montani, I., et al.: explosion\/spaCy: v3.1.4: Python 3.10 wheels and support for AppleOps, Oct 2021. https:\/\/doi.org\/10.5281\/zenodo.5617894","DOI":"10.5281\/zenodo.5617894"},{"key":"23_CR19","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/978-3-319-08976-8_2","volume-title":"Advances in Data Mining. Applications and Theoretical Aspects","author":"Y Mosallam","year":"2014","unstructured":"Mosallam, Y., Abi-Haidar, A., Ganascia, J.-G.: Unsupervised named entity recognition and disambiguation: an application to old French journals. In: Perner, P. (ed.) ICDM 2014. LNCS (LNAI), vol. 8557, pp. 12\u201323. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-08976-8_2"},{"key":"23_CR20","doi-asserted-by":"publisher","unstructured":"Niccolucci, F., Felicetti, A.: A cidoc CRM-based model for the documentation of heritage sciences. In: 2018 3rd Digital Heritage International Congress (DigitalHERITAGE) held jointly with 2018 24th International Conference on Virtual Systems Multimedia (VSMM 2018), pp. 1\u20136 (2018). https:\/\/doi.org\/10.1109\/DigitalHeritage.2018.8810109","DOI":"10.1109\/DigitalHeritage.2018.8810109"},{"key":"23_CR21","doi-asserted-by":"publisher","unstructured":"Wilkinson, M.D., Dumontier, M., Aalbersberg, I.J., et al.: The fair guiding principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016). https:\/\/doi.org\/10.1038\/sdata.2016.1","DOI":"10.1038\/sdata.2016.1"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing. ICIAP 2022 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-13324-4_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T19:08:01Z","timestamp":1666465681000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-13324-4_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031133237","9783031133244"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-13324-4_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"4 August 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lecce","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 May 2022","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":"iciap2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2021.org\/","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":"Microsoft","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"307","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":"168","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":"55% - 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","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":"4","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)"}}]}}