{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T21:39:07Z","timestamp":1774993147049,"version":"3.50.1"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T00:00:00Z","timestamp":1630627200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T00:00:00Z","timestamp":1630627200000},"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":["Int J Speech Technol"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s10772-021-09884-2","type":"journal-article","created":{"date-parts":[[2021,9,4]],"date-time":"2021-09-04T00:30:02Z","timestamp":1630715402000},"page":"793-802","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An efficient contextual glove feature extraction model on large textual databases"],"prefix":"10.1007","volume":"25","author":[{"given":"S","family":"Anjali Devi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S","family":"Sivakumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,3]]},"reference":[{"key":"9884_CR1","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.compbiolchem.2018.05.002","volume":"75","author":"B Bhasuran","year":"2018","unstructured":"Bhasuran, B., Subramanian, D., & Natarajan, J. (2018). Text mining and network analysis to find functional associations of genes in high altitude diseases. Computational Biology and Chemistry, 75, 101\u2013110. https:\/\/doi.org\/10.1016\/j.compbiolchem.2018.05.002","journal-title":"Computational Biology and Chemistry"},{"key":"9884_CR2","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1016\/j.eswa.2006.08.017","volume":"33","author":"J Chiang","year":"2007","unstructured":"Chiang, J., Liu, H., Chao, S., & Chen, C. (2007). Discovering gene\u2013gene relations from sequential sentence patterns in biomedical literature. Expert Systems with Applications, 33, 1036\u20131041.","journal-title":"Expert Systems with Applications"},{"key":"9884_CR3","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.jbi.2018.08.009","volume":"86","author":"SJ Fodeh","year":"2018","unstructured":"Fodeh, S. J., & Tiwari, A. (2018). Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification. Journal of Biomedical Informatics, 86, 160\u2013166.","journal-title":"Journal of Biomedical Informatics"},{"key":"9884_CR4","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.ins.2015.04.009","volume":"316","author":"MT Hassan","year":"2015","unstructured":"Hassan, M. T., Karim, A., Kim, J., & Jeon, M. (2015). CDIM: Document clustering by discrimination information maximization. Information Sciences, 316, 87\u2013106.","journal-title":"Information Sciences"},{"key":"9884_CR5","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.micpro.2016.03.003","volume":"46","author":"Y Ji","year":"2016","unstructured":"Ji, Y., Tian, Y., Shen, F., & Tran, J. (2016). Leveraging MapReduce to efficiently extract associations between biomedical concepts from large text data. Microprocessors and Microsystems, 46, 202\u2013210.","journal-title":"Microprocessors and Microsystems"},{"key":"9884_CR6","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1016\/j.patcog.2009.01.020","volume":"42","author":"H Kim","year":"2009","unstructured":"Kim, H., & Chen, S. (2009). Associative Naive Bayes classifier: Automated linking of geneontology to medline documents. Pattern Recognition, 42, 1777\u20131785.","journal-title":"Pattern Recognition"},{"key":"9884_CR7","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.jbi.2014.12.013","volume":"53","author":"S Kim","year":"2015","unstructured":"Kim, S., & Yoon, J. (2015). Link-topic model for biomedical abbreviation disambiguation. Journal of Biomedical Informatics, 53, 367\u2013380.","journal-title":"Journal of Biomedical Informatics"},{"key":"9884_CR8","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1016\/j.ipm.2007.01.018","volume":"43","author":"X Ling","year":"2007","unstructured":"Ling, X., Jiang, J., He, X., Mei, Q., Zhai, C., & Schatz, B. (2007). Generating gene summaries from biomedical literature: A study of semi-structured summarization. Information Processing and Management, 43, 1777\u20131791.","journal-title":"Information Processing and Management"},{"key":"9884_CR9","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.jbi.2010.07.006","volume":"44","author":"K Liu","year":"2011","unstructured":"Liu, K., Hogan, W. R., & Crowley, R. S. (2011). Natural Language Processing methods and systems for biomedical ontology learning. Journal of Biomedical Informatics, 44, 163\u2013179.","journal-title":"Journal of Biomedical Informatics"},{"issue":"5\u20136","key":"9884_CR10","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/j.ygeno.2014.03.004","volume":"103","author":"C Olsen","year":"2014","unstructured":"Olsen, C., Fleming, K., Prendergast, N., Rubi, R., Emmert-Streib, F., Bontempi, G., Haibe-Kains, B., & Quackenbush, J. (2014). Inference and validation of predictive gene networks from biomedicalliterature and gene expression data. Genomics, 103(5\u20136), 329\u2013336.","journal-title":"Genomics"},{"issue":"10","key":"9884_CR11","doi-asserted-by":"publisher","first-page":"12365","DOI":"10.1016\/j.eswa.2011.04.016","volume":"38","author":"JM Ruiz-Mart\u00ednez","year":"2011","unstructured":"Ruiz-Mart\u00ednez, J. M., Valencia-Garc\u00eda, R., Fern\u00e1ndez-Breis, J. T., Garc\u00eda-S\u00e1nchez, F., & Mart\u00ednez-B\u00e9jar, R. (2011). Ontology learning from biomedical natural language documents using UMLS. Expert Systems with Applications, 38(10), 12365\u201312378.","journal-title":"Expert Systems with Applications"},{"issue":"6","key":"9884_CR12","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1016\/j.ijmedinf.2006.04.011","volume":"7","author":"T Theodosiou","year":"2007","unstructured":"Theodosiou, T., Angelis, L., Vakali, A., & Thomopoulos, G. N. (2007). Gene functional annotation by statistical analysis of biomedical articles. International Journal of Medical Informatics, 7(6), 601\u2013613.","journal-title":"International Journal of Medical Informatics"},{"key":"9884_CR13","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.jbi.2018.08.011","volume":"86","author":"Z Wang","year":"2018","unstructured":"Wang, Z., Xu, S., & Zhu, L. (2018). Semantic relation extraction aware of N-Gram features from unstructured biomedical text. Journal of Biomedical Informatics, 86, 59\u201370.","journal-title":"Journal of Biomedical Informatics"},{"key":"9884_CR14","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.ijmedinf.2017.11.006","volume":"109","author":"E Yan","year":"2018","unstructured":"Yan, E., & Zhu, Y. (2018). Tracking Word semantic change in biomedical literature. International Journal of Medical Informatics, 109, 76\u201386.","journal-title":"International Journal of Medical Informatics"},{"key":"9884_CR15","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.ymeth.2019.02.021","volume":"166","author":"Y Zhang","year":"2019","unstructured":"Zhang, Y., & Lu, Z. (2019). Exploring semi-supervised variational autoencoders for biomedical relation extraction. Methods, 166, 112\u2013119. https:\/\/doi.org\/10.1016\/j.ymeth.2019.02.021","journal-title":"Methods"},{"key":"9884_CR16","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.compbiomed.2017.05.026","volume":"87","author":"N Zong","year":"2017","unstructured":"Zong, N., Lee, S., Ahn, J., & Kim, H. (2017). Supporting inter-topic entity search for biomedical Linked Data based on heterogeneous relationships. Computers in Biology and Medicine, 87, 217\u2013229.","journal-title":"Computers in Biology and Medicine"}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-021-09884-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10772-021-09884-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-021-09884-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T11:14:09Z","timestamp":1670843649000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10772-021-09884-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,3]]},"references-count":16,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["9884"],"URL":"https:\/\/doi.org\/10.1007\/s10772-021-09884-2","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"value":"1381-2416","type":"print"},{"value":"1572-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,3]]},"assertion":[{"value":"29 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}