{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:38:01Z","timestamp":1743064681843,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030730499"},{"type":"electronic","value":"9783030730505"}],"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\/978-3-030-73050-5_40","type":"book-chapter","created":{"date-parts":[[2021,4,16]],"date-time":"2021-04-16T13:16:33Z","timestamp":1618578993000},"page":"394-402","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Sentence Similarity Computation Based on Deep Learning"],"prefix":"10.1007","author":[{"given":"Wafa","family":"Wali","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bilel","family":"Gargouri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,4,17]]},"reference":[{"key":"40_CR1","unstructured":"Dolan, B., Quirk, C., Brockett, C.: Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources. In: Proceedings of the 20th International Conference on Computational Linguistics, COLING (2014)"},{"issue":"4","key":"40_CR2","doi-asserted-by":"publisher","first-page":"7764","DOI":"10.1016\/j.eswa.2008.11.022","volume":"36","author":"RM Aliguliyev","year":"2009","unstructured":"Aliguliyev, R.M.: A new sentence similarity measure and sentence based extractive technique for automatic text summarization. Expert Syst. Appl. 36(4), 7764\u20137772 (2009)","journal-title":"Expert Syst. Appl."},{"key":"40_CR3","doi-asserted-by":"crossref","unstructured":"Kauchak, D., Barzilay, R.: Paraphrasing for automatic evaluation. In HLTNAACL 2006, pp. 455\u2013462 (2006)","DOI":"10.3115\/1220835.1220893"},{"key":"40_CR4","doi-asserted-by":"crossref","unstructured":"Sriram, B., Fuhry, D., Demir, E., Ferhatosmanoglu, H., Demirbas. M.: Short text classification in twitter to improve information filtering. In: Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 841\u2013842 (2010)","DOI":"10.1145\/1835449.1835643"},{"key":"40_CR5","volume-title":"Text Information Retrieval Systems","author":"CT Meadow","year":"1992","unstructured":"Meadow, C.T.: Text Information Retrieval Systems. Academic Press Inc., Cambridge (1992)"},{"key":"40_CR6","doi-asserted-by":"crossref","unstructured":"Sahami, M., Heilman, T.D.: A web-based kernel function for measuring the similarity of short text snippets. In: Proceedings of 15th International Conference on World Wide Web, pp. 377\u2013386 (2006)","DOI":"10.1145\/1135777.1135834"},{"key":"40_CR7","unstructured":"Mihalcea, R., Corley, C., Strapparava, C.: Corpus-based and knowledge-based measures of text semantic similarity. In: Proceedings of 21st National Conference on Artificial Intelligence, pp. 775\u2013780 (2006)"},{"key":"40_CR8","unstructured":"Frane Saric, G., Glavas, M., Karan, J., Snajder, B.D.: BasicTakeLab: systems for measuring semantic text similarity. In: Proceedings of 1st Joint Conference on Lexical and Computational Semantics, pp. 441\u2013448 (2012)"},{"issue":"1","key":"40_CR9","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1504\/IJSN.2020.106526","volume":"15","author":"G Chen","year":"2020","unstructured":"Chen, G., Shi, X., Chen, M., Zhou, L.: Text similarity semantic calculation based on deep reinforcement learning. Int. J. Secur. Netw. (IJSN) 15(1), 59\u201366 (2020)","journal-title":"Int. J. Secur. Netw. (IJSN)"},{"key":"40_CR10","first-page":"6586","volume":"33","author":"S Kim","year":"2019","unstructured":"Kim, S., Kang, I., Kwak, N.: Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information. Proc. AAAI Conf. Artif. Intell. 33, 6586\u20136593 (2019)","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"issue":"1","key":"40_CR11","first-page":"124","volume":"18","author":"EMB Nagoudi","year":"2018","unstructured":"Nagoudi, E.M.B., Khorsi, A., Cherroun, H., Schwab, D.: 2L-APD: A two-level plagiarism detection system for Arabic documents. J. Cybern. Inf. Technol. 18(1), 124\u2013138 (2018)","journal-title":"J. Cybern. Inf. Technol."},{"key":"40_CR12","doi-asserted-by":"crossref","unstructured":"Tian, J., Zhou, Z., Lan, M., Wu, Y.: ECNU at SemEval-2017 task 1: leverage kernel-based traditional NLP features and neural networks to build a universal model for multilingual and cross-lingual semantic textual similarity. In: SemEval 2017 - 11th International Work. Semantics Evaluation Proceedings, Vancouver, Canada, pp. 191\u2013197 (2018)","DOI":"10.18653\/v1\/S17-2028"},{"issue":"2","key":"40_CR13","doi-asserted-by":"publisher","first-page":"16","DOI":"10.5120\/cae2016652430","volume":"6","author":"F Elghannam","year":"2016","unstructured":"Elghannam, F.: Automatic measurement of semantic similarity among arabic short texts. Commun. Appl. Electron. 6(2), 16\u201321 (2016)","journal-title":"Commun. Appl. Electron."},{"issue":"11","key":"40_CR14","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/219717.219748","volume":"38","author":"GA Miller","year":"1995","unstructured":"Miller, G.A.: Wordnet: a lexical database for english. Commun. ACM 38(11), 39\u201341 (1995)","journal-title":"Commun. ACM"},{"key":"40_CR15","doi-asserted-by":"crossref","unstructured":"Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S.J., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: Association for Computational Linguistics (ACL) System Demonstrations, pp. 55\u201360 (2014)","DOI":"10.3115\/v1\/P14-5010"},{"key":"40_CR16","unstructured":"Jaccard, P.: Etude comparative de la distribution orale dans une portion des Alpes et du Jura. Impr. Corbaz (1901)"},{"key":"40_CR17","unstructured":"Schuler, K.K.: VerbNet: A Broad-Coverage, Comprehensive Verb Lexicon. Ph.D. thesis, University of Pennsylvania (2006)"},{"key":"40_CR18","first-page":"1","volume":"22","author":"A Khemakhem","year":"2015","unstructured":"Khemakhem, A., Gargouri, B., Ben Hamadou, A., Francopoulo, G.: Iso standard modeling of a large arabic dictionary. Nat. Lang. Eng. 22, 1\u201331 (2015)","journal-title":"Nat. Lang. Eng."},{"key":"40_CR19","doi-asserted-by":"crossref","unstructured":"Mikolov, T., et al.: Extensions of recurrent neural network language model. In: Acoustics, Speech and Signal Processing (ICASSP). IEEE (2011)","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"40_CR20","unstructured":"Agirre, E., et al.: SemEval-2015 task 2: semantic textual similarity, English, Spanish and pilot on interpretability. In: Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) (2015). https:\/\/alt.qcri.org\/semeval2015\/task2"},{"key":"40_CR21","first-page":"2121","volume":"12","author":"J Duchi","year":"2011","unstructured":"Duchi, J., Elad, H., Singer, Y.: Adaptive subgradient methods for online learning and stochastic optimization. J. Mach. Learn. Res. 12, 2121\u20132159 (2011)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Advances in Intelligent Systems and Computing","Hybrid Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-73050-5_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,16]],"date-time":"2021-04-16T14:23:56Z","timestamp":1618583036000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-73050-5_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030730499","9783030730505"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-73050-5_40","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"17 April 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"his2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/his20\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}