{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T15:04:00Z","timestamp":1750950240974,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031535543"},{"type":"electronic","value":"9783031535550"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-53555-0_10","type":"book-chapter","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T05:02:10Z","timestamp":1707800530000},"page":"100-109","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Towards the\u00a0Automated Population of\u00a0Thesauri Using BERT: A Use Case on\u00a0the\u00a0Cybersecurity Domain"],"prefix":"10.1007","author":[{"given":"Elena","family":"Cardillo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2911-7472","authenticated-orcid":false,"given":"Alessio","family":"Portaro","sequence":"additional","affiliation":[]},{"given":"Maria","family":"Taverniti","sequence":"additional","affiliation":[]},{"given":"Claudia","family":"Lanza","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0106-8635","authenticated-orcid":false,"given":"Raffaele","family":"Guarasci","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,14]]},"reference":[{"key":"10_CR1","unstructured":"Bonetti, F., Leonardelli, E., Trotta, D., Guarasci, R., Tonelli, S.: Work hard, play hard: Collecting acceptability annotations through a 3d game, pp. 1740\u20131750 (2022)"},{"key":"10_CR2","doi-asserted-by":"publisher","unstructured":"Broughton, V.: Essential Thesaurus Construction. Facet (2006). https:\/\/doi.org\/10.29085\/9781856049849","DOI":"10.29085\/9781856049849"},{"key":"10_CR3","unstructured":"Chen, W., Ji, H.: Infer: Capturing implicit entity relations for knowledge graph completion using contextualized language models. arXiv preprint arXiv:2006.05295 (2020)"},{"key":"10_CR4","first-page":"17","volume":"1\u20132","author":"L Claudia","year":"2020","unstructured":"Claudia, L., Elena, C., Maria, T., Roberto, G.: Terminology management in cybersecurity thought knowledge organization systems: an Italian use case. Int. J. Adv. Secur. 1\u20132, 17\u201327 (2020)","journal-title":"Int. J. Adv. Secur."},{"key":"10_CR5","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171\u20134186. ACL, Minneapolis, Minnesota (2019). https:\/\/doi.org\/10.18653\/v1\/N19-1423","DOI":"10.18653\/v1\/N19-1423"},{"issue":"2","key":"10_CR6","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1515\/bfp-2023-0003","volume":"47","author":"S Gabler","year":"2023","unstructured":"Gabler, S.: Thesauri - a toolbox for information retrieval. Bibliothek Forschung und Praxis 47(2), 189\u2013199 (2023). https:\/\/doi.org\/10.1515\/bfp-2023-0003","journal-title":"Bibliothek Forschung und Praxis"},{"key":"10_CR7","doi-asserted-by":"publisher","first-page":"75144","DOI":"10.1109\/ACCESS.2022.3189956","volume":"10","author":"F Gargiulo","year":"2022","unstructured":"Gargiulo, F., et al.: An electra-based model for neural coreference resolution. IEEE Access 10, 75144\u201375157 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3189956","journal-title":"IEEE Access"},{"key":"10_CR8","doi-asserted-by":"publisher","unstructured":"Guarasci, R., Damiano, E., Minutolo, A., Esposito, M., De Pietro, G.: Lexicon-grammar based open information extraction from natural language sentences in italian. Expert Syst. Appl. 143, 112,954 (2020). https:\/\/doi.org\/10.1016\/j.eswa.2019.112954","DOI":"10.1016\/j.eswa.2019.112954"},{"key":"10_CR9","doi-asserted-by":"publisher","unstructured":"Guarasci, R., De\u00a0Pietro, G., Esposito, M.: Quantum natural language processing: Challenges and opportunities. Appl. Sci. (Switzerland) 12(11) (2022). https:\/\/doi.org\/10.3390\/app12115651","DOI":"10.3390\/app12115651"},{"key":"10_CR10","doi-asserted-by":"publisher","unstructured":"Guarasci, R., Minutolo, A., Damiano, E., De\u00a0Pietro, G., Fujita, H., Esposito, M.: ELECTRA for neural coreference resolution in italian. IEEE Access 9, 115,643\u2013115,654 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3105278","DOI":"10.1109\/ACCESS.2021.3105278"},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Guarasci, R., Silvestri, S., De\u00a0Pietro, G., Fujita, H., Esposito, M.: Bert syntactic transfer: a computational experiment on Italian, French and English languages. Comput. Speech Lang. 71, 101,261 (2022)","DOI":"10.1016\/j.csl.2021.101261"},{"issue":"1","key":"10_CR12","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1007\/s12652-021-03297-4","volume":"14","author":"R Guarasci","year":"2023","unstructured":"Guarasci, R., Silvestri, S., De Pietro, G., Fujita, H., Esposito, M.: Assessing bert\u2019s ability to learn Italian syntax: a study on null-subject and agreement phenomena. J. Ambient. Intell. Humaniz. Comput. 14(1), 289\u2013303 (2023)","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"key":"10_CR13","unstructured":"Hazem, A., Daille, B., Claudia, L.: Towards automatic thesaurus construction and enrichment. In: B.\u00a0Daille, K.\u00a0Kageura, A.R. Terryn (eds.) Proceedings of the 6th International Workshop on Computational Terminology, pp. 62\u201371. European Language Resources Association, Marseille, France (2020)"},{"key":"10_CR14","doi-asserted-by":"publisher","unstructured":"Jawahar, G., Sagot, B., Seddah, D.: What does BERT learn about the structure of language? In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 3651\u20133657. ACL, Florence, Italy (2019). https:\/\/doi.org\/10.18653\/v1\/P19-1356","DOI":"10.18653\/v1\/P19-1356"},{"key":"10_CR15","doi-asserted-by":"publisher","DOI":"10.1201\/9781003281450citation-key","author":"C Lanza","year":"2022","unstructured":"Lanza, C.: Semantic control for the cybersecurity domain: investigation on the representativeness of a domain-specific terminology referring to lexical variation. CRC Press (2022). https:\/\/doi.org\/10.1201\/9781003281450citation-key","journal-title":"CRC Press"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Laurer, M., Atteveldt, W.v., Casas, A.S., Welbers, K.: Less Annotating, More Classifying - Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT - NLI. Preprint (2022). Publisher: Open Science Framework","DOI":"10.1017\/pan.2023.20"},{"key":"10_CR17","doi-asserted-by":"publisher","unstructured":"Li, W., Zhu, L., Shi, Y., Guo, K., Cambria, E.: User reviews: sentiment analysis using lexicon integrated two-channel cnn-lstm family models. Appl. Soft Comput. 94, 106,435 (2020). https:\/\/doi.org\/10.1016\/j.asoc.2020.106435","DOI":"10.1016\/j.asoc.2020.106435"},{"key":"10_CR18","unstructured":"Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D.: Joint entity recognition and relation extraction as a multi-head selection problem. arXiv preprint arXiv:2201.10208 (2022)"},{"key":"10_CR19","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1108\/EUM0000000007100","volume":"57","author":"M Lykke","year":"2001","unstructured":"Lykke, M.: A framework for work task based thesaurus design. J. Documentation 57, 774\u2013797 (2001). https:\/\/doi.org\/10.1108\/EUM0000000007100","journal-title":"J. Documentation"},{"key":"10_CR20","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"issue":"4","key":"10_CR21","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1093\/ijl\/3.4.235","volume":"3","author":"GA Miller","year":"1990","unstructured":"Miller, G.A.: Introduction to wordnet: an on-line lexical database. Int. J. Lexicogr. 3(4), 235\u2013244 (1990)","journal-title":"Int. J. Lexicogr."},{"key":"10_CR22","doi-asserted-by":"publisher","unstructured":"Minutolo, A., Guarasci, R., Damiano, E., De\u00a0Pietro, G., Fujita, H., Esposito, M.: A multi-level methodology for the automated translation of a coreference resolution dataset: an application to the italian language. Neural Comput. Appl. 34(24), 22,493 - 22,518 (2022). https:\/\/doi.org\/10.1007\/s00521-022-07641-3","DOI":"10.1007\/s00521-022-07641-3"},{"issue":"3\u20134","key":"10_CR23","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1300\/J104v37n03_05","volume":"37","author":"ML Nielsen","year":"2004","unstructured":"Nielsen, M.L.: Thesaurus construction: key issues and selected readings. Cataloging Classification Quarterly 37(3\u20134), 57\u201374 (2004). https:\/\/doi.org\/10.1300\/J104v37n03_05","journal-title":"Cataloging Classification Quarterly"},{"key":"10_CR24","unstructured":"Organization, I.S.: ISO 25964-1:2011 Information and documentation - Thesauri and interoperability with other vocabularies - Part 1: Thesauri for information retrieval (2011)"},{"key":"10_CR25","unstructured":"Organization, I.S.: ISO 25964-2:2013 Information and documentation - Thesauri and interoperability with other vocabularies - Part 2: Interoperability with other vocabularies (2013)"},{"key":"10_CR26","doi-asserted-by":"publisher","unstructured":"Zadeh, B.Q., Handschuh, S.: The ACL RD-TEC: a dataset for benchmarking terminology extraction and classification in computational linguistics. In: Proceedings of the 4th International Workshop on Computational Terminology (Computerm), pp. 52\u201363. Association for Computational Linguistics and Dublin City University, Dublin, Ireland (2014). https:\/\/doi.org\/10.3115\/v1\/W14-4807","DOI":"10.3115\/v1\/W14-4807"},{"key":"10_CR27","doi-asserted-by":"crossref","unstructured":"Sovrano, F., Palmirani, M., Vitali, F.: Legal knowledge extraction for knowledge graph based question-answering. In: Legal Knowledge and Information Systems, pp. 143\u2013153. IOS Press (2020)","DOI":"10.3233\/FAIA200858"},{"key":"10_CR28","unstructured":"National Institute of Standards: Glossary of key information security terms. Tech. rep., NIST Interagency or Internal Report (NISTIR) 7298 Rev. 2, May 2013"},{"key":"10_CR29","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.inffus.2020.01.010","volume":"59","author":"R Sukthanker","year":"2020","unstructured":"Sukthanker, R., Poria, S., Cambria, E., Thirunavukarasu, R.: Anaphora and coreference resolution: a review. Inf. Fusion 59, 139\u2013162 (2020). https:\/\/doi.org\/10.1016\/j.inffus.2020.01.010","journal-title":"Inf. Fusion"},{"key":"10_CR30","doi-asserted-by":"crossref","unstructured":"Sun, C., Qiu, X., X.Y., X., H.: How to fine-tune bert for text classification? In: China National Conference on Chinese Computational Linguistics, pp. 194\u2013206. Springer (2019)","DOI":"10.1007\/978-3-030-32381-3_16"},{"key":"10_CR31","doi-asserted-by":"publisher","unstructured":"Trotta, D., Guarasci, R., Leonardelli, E., Tonelli, S.: Monolingual and cross-lingual acceptability judgments with the Italian CoLA corpus. In: M.F. Moens, X.\u00a0Huang, L.\u00a0Specia, S.W.t. Yih (eds.) Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 2929\u20132940. Association for Computational Linguistics, Punta Cana, Dominican Republic (2021). https:\/\/doi.org\/10.18653\/v1\/2021.findings-emnlp.250","DOI":"10.18653\/v1\/2021.findings-emnlp.250"},{"key":"10_CR32","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: Attention is all you need. In: Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, pp. 5998\u20136008. Long Beach, CA, USA (2017)"},{"key":"10_CR33","doi-asserted-by":"crossref","unstructured":"Wu, H.C., Luk, R.W.P., Wong, K.F., Kwok, K.L.: Interpreting tf-idf term weights as making relevance decisions. ACM Trans. Inf. Syst. 26, 13:1\u201313:37 (2008)","DOI":"10.1145\/1361684.1361686"},{"key":"10_CR34","doi-asserted-by":"publisher","unstructured":"Wu, S., Dredze, M.: Beto, Bentz, Becas: The surprising cross-lingual effectiveness of BERT. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 833\u2013844. Association for Computational Linguistics, Hong Kong, China (2019). https:\/\/doi.org\/10.18653\/v1\/D19-1077","DOI":"10.18653\/v1\/D19-1077"},{"key":"10_CR35","unstructured":"Zhang, S., Wang, Z., Tang, J.: Bert for joint entity and relation extraction via context-aware coreference resolution. Inf. Process. Manage. 58(5), 102,356 (2021)"},{"key":"10_CR36","unstructured":"Zhang, Y., Zhang, Y., Ji, D.: Kg-bert: Bert for knowledge graph completion. arXiv preprint arXiv:2002.00388 (2020)"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Internet, Data & Web Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-53555-0_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T05:05:25Z","timestamp":1707800725000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-53555-0_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031535543","9783031535550"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-53555-0_10","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"14 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EIDWT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Emerging Internet, Data & Web Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Naples","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 February 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 February 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eidwt12024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/eidwt\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}