{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:22:29Z","timestamp":1742984549793,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030232801"},{"type":"electronic","value":"9783030232818"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-23281-8_14","type":"book-chapter","created":{"date-parts":[[2019,6,20]],"date-time":"2019-06-20T07:38:05Z","timestamp":1561016285000},"page":"170-181","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Cross-Corpus Training with CNN to Classify Imbalanced Biomedical Relation Data"],"prefix":"10.1007","author":[{"given":"S. S.","family":"Deepika","sequence":"first","affiliation":[]},{"given":"M.","family":"Saranya","sequence":"additional","affiliation":[]},{"given":"T. V.","family":"Geetha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,21]]},"reference":[{"issue":"1\u20132","key":"14_CR1","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1504\/IJBRA.2018.089175","volume":"14","author":"K Nagaraj","year":"2018","unstructured":"Nagaraj, K., Sharvani, G.S., Sridhar, A.: Emerging trend of big data analytics in bioinformatics: a literature review. Int. J. Bioinform. Res. Appl. 14(1\u20132), 144\u2013205 (2018)","journal-title":"Int. J. Bioinform. Res. Appl."},{"issue":"4","key":"14_CR2","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1001\/jamainternmed.2015.8581","volume":"176","author":"DM Qato","year":"2016","unstructured":"Qato, D.M., Wilder, J., Philip Schumm, L., Gillet, V., Caleb Alexander, G.: Changes in prescription and over-the-counter medication and dietary supplement use among older adults in the United States, 2005 vs 2011. JAMA Intern. Med. 176(4), 473\u2013482 (2016)","journal-title":"JAMA Intern. Med."},{"issue":"3","key":"14_CR3","doi-asserted-by":"publisher","first-page":"e0118991","DOI":"10.1371\/journal.pone.0118991","volume":"10","author":"JJ Sutherland","year":"2015","unstructured":"Sutherland, J.J., Daly, T.M., Liu, X., Goldstein, K., Johnston, J.A., Ryan, T.P.: Co-prescription trends in a large cohort of subjects predict substantial drug-drug interactions. PLoS ONE 10(3), e0118991 (2015)","journal-title":"PLoS ONE"},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"350","DOI":"10.3389\/fphar.2018.00350","volume":"9","author":"C Giardina","year":"2018","unstructured":"Giardina, C., et al.: Adverse drug reactions in hospitalized patients: results of the FORWARD (facilitation of reporting in hospital ward) Study. Front. Pharmacol. 9, 350 (2018)","journal-title":"Front. Pharmacol."},{"issue":"2","key":"14_CR5","doi-asserted-by":"publisher","first-page":"149","DOI":"10.18178\/ijmlc.2016.6.2.590","volume":"6","author":"RD Sharma","year":"2016","unstructured":"Sharma, R.D., Tripathi, S., Sahu, S.K., Mittal, S., Anand, A.: Predicting online doctor ratings from user reviews using convolutional neural networks. Int. J. Mach. Learn. Comput. 6(2), 149 (2016)","journal-title":"Int. J. Mach. Learn. Comput."},{"key":"14_CR6","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Philip Kegelmeyer, W.: SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"14_CR7","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.jbi.2015.03.002","volume":"55","author":"S Kim","year":"2015","unstructured":"Kim, S., Liu, H., Yeganova, L., John Wilbur, W.: Extracting drug\u2013drug interactions from literature using a rich feature-based linear kernel approach. J. Biomed. Inf. 55, 23\u201330 (2015)","journal-title":"J. Biomed. Inf."},{"key":"14_CR8","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.artmed.2018.05.001","volume":"93","author":"B He","year":"2019","unstructured":"He, B., Guan, Y., Dai, R.: Classifying medical relations in clinical text via convolutional neural networks. Artif. Intell. Med. 93, 43\u201349 (2019)","journal-title":"Artif. Intell. Med."},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Liu, S., Tang, B., Chen, Q., Wang, X.: Drug-drug interaction extraction via convolutional neural networks. Comput. Math. Methods Med. 2016 (2016)","DOI":"10.1155\/2016\/6918381"},{"key":"14_CR10","unstructured":"Krasakis, A.M., Kanoulas, E., Tsatsaronis, G.: Semi-supervised ensemble learning with weak supervision for biomedical relationship extraction (2018)"},{"issue":"1","key":"14_CR11","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1023\/A:1007379606734","volume":"28","author":"R Caruana","year":"1997","unstructured":"Caruana, R.: Multitask learning. Mach. Learn. 28(1), 41\u201375 (1997)","journal-title":"Mach. Learn."},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Torrey, L., Shavlik, J.: Transfer learning. In: Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques, pp. 242\u2013264. IGI Global (2010)","DOI":"10.4018\/978-1-60566-766-9.ch011"},{"key":"14_CR13","first-page":"2493","volume":"12","author":"R Collobert","year":"2011","unstructured":"Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., Kuksa, P.: Natural language processing (almost) from scratch. J. Mach. Learn. Res. 12, 2493\u20132537 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"14_CR14","unstructured":"Zhang, B., Provost, E.M., Essl, G.: Cross-corpus acoustic emotion recognition with multi-task learning: seeking common ground while preserving differences. IEEE Trans. Affect. Comput. (2017)"},{"key":"14_CR15","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"issue":"14","key":"14_CR16","doi-asserted-by":"publisher","first-page":"i37","DOI":"10.1093\/bioinformatics\/btx228","volume":"33","author":"M Habibi","year":"2017","unstructured":"Habibi, M., Weber, L., Neves, M., Wiegandt, D.L., Leser, U.: Deep learning with word embeddings improves biomedical named entity recognition. Bioinformatics 33(14), i37\u2013i48 (2017)","journal-title":"Bioinformatics"},{"key":"14_CR17","unstructured":"Ghannay, S., Favre, B., Esteve, Y., Camelin, N.: Word embedding evaluation and combination. In: LREC, pp. 300\u2013305 (2016)"},{"issue":"5","key":"14_CR18","doi-asserted-by":"publisher","first-page":"429","DOI":"10.3233\/IDA-2002-6504","volume":"6","author":"N Japkowicz","year":"2002","unstructured":"Japkowicz, N., Stephen, S.: The class imbalance problem: a systematic study. Intell. Data Anal. 6(5), 429\u2013449 (2002)","journal-title":"Intell. Data Anal."},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Wong, Z.S.-Y., Tsui, K.L.: A framework of rebalancing imbalanced healthcare data for rare events\u2019 classification: a case of look-alike sound-alike mix-up incident detection. J. Healthc. Eng. 2018 (2018)","DOI":"10.1155\/2018\/6275435"},{"key":"14_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1007\/11573036_36","volume-title":"Advances in Informatics","author":"Y Tsuruoka","year":"2005","unstructured":"Tsuruoka, Y., Tateishi, Y., Kim, J.-D., Ohta, T., McNaught, J., Ananiadou, S., Tsujii, J.: Developing a robust part-of-speech tagger for biomedical text. In: Bozanis, P., Houstis, E.N. (eds.) PCI 2005. LNCS, vol. 3746, pp. 382\u2013392. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11573036_36"},{"key":"14_CR21","doi-asserted-by":"crossref","unstructured":"Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., McClosky, D.: The stanford CoreNLP natural language processing toolkit. In: Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55\u201360 (2014)","DOI":"10.3115\/v1\/P14-5010"},{"key":"14_CR22","unstructured":"Segura-Bedmar, I., Mart\u00ednez, P., Herrero Zazo, M.: Semeval-2013 task 9: extraction of drug-drug interactions from biomedical texts (ddiextraction 2013). In: Second Joint Conference on Lexical and Computational Semantics (* SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), vol. 2, pp. 341\u2013350 (2013)"},{"issue":"5","key":"14_CR23","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1016\/j.jbi.2012.04.008","volume":"45","author":"H Gurulingappa","year":"2012","unstructured":"Gurulingappa, H., Rajput, A.M., Roberts, A., Fluck, J., Hofmann-Apitius, M., Toldo, L.: Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports. J. Biomed. Inf. 45(5), 885\u2013892 (2012)","journal-title":"J. Biomed. Inf."},{"issue":"5","key":"14_CR24","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1016\/j.jbi.2012.04.004","volume":"45","author":"EM Van Mulligen","year":"2012","unstructured":"Van Mulligen, E.M., et al.: The EU-ADR corpus: annotated drugs, diseases, targets, and their relationships. J. Biomed. Inf. 45(5), 879\u2013884 (2012)","journal-title":"J. Biomed. Inf."}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-23281-8_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T19:05:06Z","timestamp":1710270306000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-23281-8_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030232801","9783030232818"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-23281-8_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"21 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLDB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications of Natural Language to Information Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salford","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nldb2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.salford.ac.uk\/conferencing-at-salford\/conference-management\/current-conference\/nldb-conference-2019","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}