{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:47:54Z","timestamp":1743137274222,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030926656"},{"type":"electronic","value":"9783030926663"}],"license":[{"start":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T00:00:00Z","timestamp":1638921600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T00:00:00Z","timestamp":1638921600000},"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\/978-3-030-92666-3_22","type":"book-chapter","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T10:02:54Z","timestamp":1638871374000},"page":"259-270","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Measuring Semantic Similarity of Vietnamese Sentences Based on Lexical and Distribution Similarity"],"prefix":"10.1007","author":[{"given":"Van-Tan","family":"Bui","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phuong-Thai","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,12,8]]},"reference":[{"doi-asserted-by":"crossref","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). http:\/\/dblp.uni-trier.de\/db\/journals\/eswa\/eswa36.html#Aliguliyev09","key":"22_CR1","DOI":"10.1016\/j.eswa.2008.11.022"},{"issue":"2","key":"22_CR2","first-page":"57","volume":"18","author":"R Burke","year":"1997","unstructured":"Burke, R., Hammond, K., Kulyukin, V., Tomuro, S.: Question answering from frequently asked question files. AI Mag. 18(2), 57\u201366 (1997)","journal-title":"AI Mag."},{"issue":"6","key":"22_CR3","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9","volume":"41","author":"SC Deerwester","year":"1990","unstructured":"Deerwester, S.C., Dumais, S.T., Landauer, T.K., Furnas, G.W., Harshman, R.A.: Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci. 41(6), 391\u2013407 (1990)","journal-title":"J. Am. Soc. Inf. Sci."},{"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, vol. 1 (Long and Short Papers), pp. 4171\u20134186. Association for Computational Linguistics, Minneapolis, Minnesota, June 2019. https:\/\/doi.org\/10.18653\/v1\/N19-1423, https:\/\/www.aclweb.org\/anthology\/N19-1423","key":"22_CR4","DOI":"10.18653\/v1\/N19-1423"},{"doi-asserted-by":"publisher","unstructured":"Farouk, Mamdouh, Ishizuka, Mitsuru, Bollegala, Danushka: Graph matching based semantic search engine. In: Garoufallou, Emmanouel, Sartori, Fabio, Siatri, Rania, Zervas, Marios (eds.) MTSR 2018. CCIS, vol. 846, pp. 89\u2013100. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-14401-2_8, http:\/\/dblp.uni-trier.de\/db\/conf\/mtsr\/mtsr2018.html#FaroukIB18","key":"22_CR5","DOI":"10.1007\/978-3-030-14401-2_8"},{"doi-asserted-by":"crossref","unstructured":"Ferreira, R., Lins, R.D., Simske, S.J., Freitas, F., Riss, M.: Assessing sentence similarity through lexical, syntactic and semantic analysis. Comput. Speech Lang. 39, 1\u201328 (2016). http:\/\/dblp.uni-trier.de\/db\/journals\/csl\/csl39.html#FerreiraLSFR16","key":"22_CR6","DOI":"10.1016\/j.csl.2016.01.003"},{"doi-asserted-by":"publisher","unstructured":"Heo, T.S., Kim, J.D., Park, C.Y., Kim, Y.S.: Global and local information adjustment for semantic similarity evaluation. Appl. Sci. 11(5), 2161 (2021). https:\/\/doi.org\/10.3390\/app11052161, https:\/\/www.mdpi.com\/2076-3417\/11\/5\/2161","key":"22_CR7","DOI":"10.3390\/app11052161"},{"doi-asserted-by":"crossref","unstructured":"Lee, M.C., Chang, J.W., Hsieh, T.C.: A grammar-based semantic similarity algorithm for natural language sentences. Sci. World J. 2014, 17 (2014). https:\/\/www.hindawi.com\/journals\/tswj\/2014\/437162\/","key":"22_CR8","DOI":"10.1155\/2014\/437162"},{"doi-asserted-by":"crossref","unstructured":"Lee, M.C., Zhang, J.W., Lee, W.X., Ye, H.Y.: Sentence similarity computation based on PoS and semantic nets. In: Kim, J., et al. (eds.) NCM, pp. 907\u2013912. IEEE Computer Society (2009). http:\/\/dblp.uni-trier.de\/db\/conf\/ncm\/ncm2009.html#LeeZLY09","key":"22_CR9","DOI":"10.1109\/NCM.2009.379"},{"key":"22_CR10","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1147\/rd.14.0309","volume":"1","author":"HP Luhn","year":"1957","unstructured":"Luhn, H.P.: A statistical approach to mechanized encoding and searching of literary information. IBM J. Res. Dev. 1, 309\u2013317 (1957)","journal-title":"IBM J. Res. Dev."},{"unstructured":"Manning, C.D., MacCartney, B.: Natural language inference (2009)","key":"22_CR11"},{"unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space (2013). arxiv:1301.3781","key":"22_CR12"},{"doi-asserted-by":"crossref","unstructured":"Morris, A.C., Maier, V., Green, P.D.: From WER and RIL to MER and WIL: improved evaluation measures for connected speech recognition. In: INTERSPEECH. ISCA (2004). http:\/\/dblp.uni-trier.de\/db\/conf\/interspeech\/interspeech2004.html#MorrisMG04","key":"22_CR13","DOI":"10.21437\/Interspeech.2004-668"},{"unstructured":"Mueller, J., Thyagarajan, A.: Siamese recurrent architectures for learning sentence similarity. In: Schuurmans, D., Wellman, M.P. (eds.) AAAI, pp. 2786\u20132792. AAAI Press (2016). http:\/\/dblp.uni-trier.de\/db\/conf\/aaai\/aaai2016.html#MuellerT16","key":"22_CR14"},{"doi-asserted-by":"crossref","unstructured":"Nguyen, D.Q., Nguyen, A.T.: Phobert: pre-trained language models for Vietnamese. In: Cohn, T., He, Y., Liu, Y. (eds.) EMNLP (Findings), pp. 1037\u20131042. Association for Computational Linguistics (2020). http:\/\/dblp.uni-trier.de\/db\/conf\/emnlp\/emnlp2020f.html#NguyenN20","key":"22_CR15","DOI":"10.18653\/v1\/2020.findings-emnlp.92"},{"unstructured":"Nguyen, P.T., Pham, V.L., Nguyen, H.A., Vu, H.H., Tran, N.A., Truong, T.T.H.: A two-phase approach for building Vietnamese WordNet. In: the 8th Global Wordnet Conference, pp. 259\u2013264 (2015)","key":"22_CR16"},{"issue":"3\u20134","key":"22_CR17","first-page":"291","volume":"40","author":"TMH Nguyen","year":"2006","unstructured":"Nguyen, T.M.H., Romary, L., Rossignol, M., Vu, X.L.: A lexicon for Vietnamese language processing. Lang. Resour. Eval. 40(3\u20134), 291\u2013309 (2006)","journal-title":"Lang. Resour. Eval."},{"doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: Glove: Global vectors for word representation. In: EMNLP, vol. 14, pp. 1532\u20131543 (2014)","key":"22_CR18","DOI":"10.3115\/v1\/D14-1162"},{"unstructured":"Wang, Z., Mi, H., Ittycheriah, A.: Sentence similarity learning by lexical decomposition and composition. In: Calzolari, N., Matsumoto, Y., Prasad, R. (eds.) COLING, pp. 1340\u20131349. ACL (2016). http:\/\/dblp.uni-trier.de\/db\/conf\/coling\/coling2016.html#WangMI16","key":"22_CR19"},{"unstructured":"Yang, M., et al.: Sentence-level agreement for neural machine translation. In: Korhonen, A., Traum, D.R., M\u00e0rquez, L. (eds.) ACL (1), pp. 3076\u20133082. Association for Computational Linguistics (2019). http:\/\/dblp.uni-trier.de\/db\/conf\/acl\/acl2019-1.html#YangWCUSZZ19","key":"22_CR20"}],"container-title":["Lecture Notes in Networks and Systems","Modelling, Computation and Optimization in Information Systems and Management Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-92666-3_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T10:08:29Z","timestamp":1638871709000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-92666-3_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,8]]},"ISBN":["9783030926656","9783030926663"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-92666-3_22","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021,12,8]]},"assertion":[{"value":"8 December 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MCO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mco2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mco2021.event.univ-lorraine.fr\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}