{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T03:10:05Z","timestamp":1743995405997,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031877681","type":"print"},{"value":"9783031877698","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-87769-8_31","type":"book-chapter","created":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T02:37:35Z","timestamp":1743993455000},"page":"354-364","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning-Driven Annotation for\u00a0Healthcare Management"],"prefix":"10.1007","author":[{"given":"Mouncef","family":"Naji","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maroua","family":"Masmoudi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanae","family":"Baraka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hajer Baazaoui","family":"Zghal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,8]]},"reference":[{"key":"31_CR1","doi-asserted-by":"crossref","unstructured":"Ahmad, F., Faisal, M.: A novel hybrid methodology for computing semantic similarity between sentences through various word senses. Int. J. Cogn. Comput. Eng. (2022)","DOI":"10.2139\/ssrn.3982266"},{"key":"31_CR2","doi-asserted-by":"crossref","unstructured":"Ahn, S., et al.: Practical binary code similarity detection with BERTbased transferable similarity learning. In: Proceedings of the 38th Annual Computer Security Applications Conference. Association for Computing Machinery, New York (2022)","DOI":"10.1145\/3564625.3567975"},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Amur, Z., et al.: Short-text semantic similarity (STSS): techniques, challenges and future perspectives. Appl. Sci. (2023)","DOI":"10.3390\/app13063911"},{"key":"31_CR4","doi-asserted-by":"crossref","unstructured":"Dehghan, S., Amasyali, M.F.: SupMPN: supervised multiple positives and negatives contrastive learning model for semantic textual similarity. Appl. Sci. (2022)","DOI":"10.3390\/app12199659"},{"key":"31_CR5","unstructured":"Gomaa, W.H., Fahmy, A.A.: A survey of text similarity approaches. Int. J. Comput. Appl. (2013)"},{"key":"31_CR6","doi-asserted-by":"crossref","unstructured":"Ji, M., Zhang, X.: A short text similarity calculation method combining semantic and headword attention mechanism. Sci. Program. (2022)","DOI":"10.1155\/2022\/8252492"},{"key":"31_CR7","unstructured":"Dasgupta, J., et al.: A survey of numerous text similarity approach. Int. J. Sci. Res. Comput. Sci. Eng. Inform. Technol. (2023)"},{"key":"31_CR8","unstructured":"Kayalvizhi, S., Thenmozhi, D., Aravindan, C.: Legal assistance using word embeddings. Fire (2019)"},{"key":"31_CR9","unstructured":"Laskar, M.T.R., et al.: Contextualized embeddings based transformer encoder for sentence similarity modeling in answer selection task. In: Proceedings of the Twelfth Language Resources and Evaluation Conference. European Language Resources Association, Marseille (2020)"},{"key":"31_CR10","doi-asserted-by":"crossref","unstructured":"Merchant, K., Pande, Y.: NLP based latent semantic analysis for legal text summarization. In: 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2018)","DOI":"10.1109\/ICACCI.2018.8554831"},{"key":"31_CR11","unstructured":"Pontes, E.L., et al.: Predicting the semantic textual similarity with siamese CNN and LSTM (2018)"},{"key":"31_CR12","doi-asserted-by":"crossref","unstructured":"Qurashi, A.W., et al.: Document processing: methods for semantic text similarity analysis. In: 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (2020)","DOI":"10.1109\/INISTA49547.2020.9194665"},{"key":"31_CR13","doi-asserted-by":"crossref","unstructured":"Wang, J., et al.: Measurement of text similarity: a survey. Information (2020)","DOI":"10.3390\/info11090421"},{"key":"31_CR14","doi-asserted-by":"crossref","unstructured":"Yadav, C., Sharan, A.: A new LSA and entropy-based approach for automatic text document summarization. Int. J. Semant. Web Inf. Syst. (IJSWIS) (2018)","DOI":"10.4018\/IJSWIS.2018100101"},{"key":"31_CR15","doi-asserted-by":"crossref","unstructured":"Zheng, S., et al.: Semantic matching for short texts: a cross attention mechanism. J. Phys.: Conf. Ser. (2021)","DOI":"10.1088\/1742-6596\/1757\/1\/012087"},{"key":"31_CR16","doi-asserted-by":"crossref","unstructured":"Zhou, H.: Research of text classification based on TF-IDF and CNNLSTM. J. Phys.: Conf. Ser. (2022)","DOI":"10.1088\/1742-6596\/2171\/1\/012021"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87769-8_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T02:37:50Z","timestamp":1743993470000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87769-8_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031877681","9783031877698"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87769-8_31","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"8 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Barcelona","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina0","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}