{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:44:08Z","timestamp":1742942648854,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030304928"},{"type":"electronic","value":"9783030304935"}],"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\/978-3-030-30493-5_25","type":"book-chapter","created":{"date-parts":[[2019,9,10]],"date-time":"2019-09-10T20:03:41Z","timestamp":1568145821000},"page":"231-242","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An Attention-Based ID-CNNs-CRF Model for Named Entity Recognition on Clinical Electronic Medical Records"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5359-6213","authenticated-orcid":false,"given":"Ming","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1759-9246","authenticated-orcid":false,"given":"Qifeng","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8035-1921","authenticated-orcid":false,"given":"Shaochun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3637-1690","authenticated-orcid":false,"given":"Kun","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,9]]},"reference":[{"key":"25_CR1","doi-asserted-by":"crossref","unstructured":"Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., Dyer, C.: Neural architectures for named entity recognition. arXiv preprint arXiv:1603.01360 (2016)","DOI":"10.18653\/v1\/N16-1030"},{"key":"25_CR2","doi-asserted-by":"publisher","unstructured":"Ma, X., Hovy, E.: End-to-end sequence labeling via bi-directional lstm-cnns-crf. arXiv preprint arXiv:1603.01354 (2016). https:\/\/doi.org\/10.18653\/v1\/p16-1101","DOI":"10.18653\/v1\/p16-1101"},{"key":"25_CR3","doi-asserted-by":"publisher","unstructured":"Rondeau, M.-A., Su, Y.: LSTM-based NeuroCRFs for named entity recognition. In: INTERSPEECH, pp. 665\u2013669 (2016). https:\/\/doi.org\/10.21437\/interspeech.2016-288","DOI":"10.21437\/interspeech.2016-288"},{"key":"25_CR4","unstructured":"Rei, M., Crichton, G.K., Pyysalo, S.: Attending to characters in neural sequence labeling models. arXiv preprint arXiv:1611.04361 (2016)"},{"issue":"Aug","key":"25_CR5","doi-asserted-by":"publisher","first-page":"2493","DOI":"10.1016\/j.chemolab.2011.03.009","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(Aug), 2493\u20132537 (2011). https:\/\/doi.org\/10.1016\/j.chemolab.2011.03.009","journal-title":"J. Mach. Learn. Res."},{"key":"25_CR6","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1007\/978-3-319-69005-6_10","volume-title":"Lecture Notes in Computer Science","author":"Chunqi Wang","year":"2017","unstructured":"Wang, C., Wei, C., Bo, X.: Named entity recognition with gated convolutional neural networks (2017). https:\/\/doi.org\/10.1007\/978-3-319-69005-6_10"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Strubell, E., Verga, P., Belanger, D., McCallum, A.: Fast and accurate sequence labeling with iterated dilated convolutions. arXiv preprint arXiv:1702.02098 138 (2017)","DOI":"10.18653\/v1\/D17-1283"},{"issue":"4","key":"25_CR8","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/s1532-0464(03)00014-5","volume":"35","author":"L Hirschman","year":"2002","unstructured":"Hirschman, L., Morgan, A.A., Yeh, A.S.: Rutabaga by any other name: extracting biological names. J. Biomed. Inform. 35(4), 247\u2013259 (2002). https:\/\/doi.org\/10.1016\/s1532-0464(03)00014-5","journal-title":"J. Biomed. Inform."},{"key":"25_CR9","doi-asserted-by":"publisher","unstructured":"Han, X., Ruonan, R.: The method of medical named entity recognition based on semantic model and improved SVM-KNN algorithm. In: 2011 Seventh International Conference on Semantics, Knowledge and Grids, pp. 21\u201327. IEEE (2011). https:\/\/doi.org\/10.1109\/skg.2011.24","DOI":"10.1109\/skg.2011.24"},{"key":"25_CR10","doi-asserted-by":"publisher","unstructured":"Collier, N., Nobata, C., Tsujii, J.-I.: Extracting the names of genes and gene products with a hidden Markov model. In: Proceedings of the 18th Conference on Computational linguistics-Volume 1, pp. 201\u2013207. Association for Computational Linguistics (2000). https:\/\/doi.org\/10.3115\/990820.990850","DOI":"10.3115\/990820.990850"},{"key":"25_CR11","doi-asserted-by":"publisher","unstructured":"GuoDong, Z., Jian, S.: Exploring deep knowledge resources in biomedical name recognition. In: JNLPBA Workshop, pp. 96\u201399. Association for Computational Linguistics (2004). https:\/\/doi.org\/10.3115\/1567594.1567616","DOI":"10.3115\/1567594.1567616"},{"key":"25_CR12","doi-asserted-by":"publisher","unstructured":"Chieu, H.L., Ng, H.T.: Named entity recognition with a maximum entropy approach. In: Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003-Volume 4, pp. 160\u2013163. Association for Computational Linguistics (2003). https:\/\/doi.org\/10.3115\/1119176.1119199","DOI":"10.3115\/1119176.1119199"},{"issue":"22","key":"25_CR13","doi-asserted-by":"publisher","first-page":"2909","DOI":"10.1093\/bioinformatics\/btt474","volume":"29","author":"R Leaman","year":"2013","unstructured":"Leaman, R., Islamaj Do\u011fan, R., Lu, Z.: DNorm: disease name normalization with pairwise learning to rank. Bioinformatics 29(22), 2909\u20132917 (2013). https:\/\/doi.org\/10.1093\/bioinformatics\/btt474","journal-title":"Bioinformatics"},{"issue":"2","key":"25_CR14","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1093\/bioinformatics\/btv570","volume":"32","author":"S Kaewphan","year":"2015","unstructured":"Kaewphan, S., Van Landeghem, S., Ohta, T., Van de Peer, Y., Ginter, F., Pyysalo, S.: Cell line name recognition in support of the identification of synthetic lethality in cancer from text. Bioinformatics 32(2), 276\u2013282 (2015). https:\/\/doi.org\/10.1093\/bioinformatics\/btv570","journal-title":"Bioinformatics"},{"issue":"9","key":"25_CR15","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1093\/bioinformatics\/btx815","volume":"34","author":"Q Zhu","year":"2017","unstructured":"Zhu, Q., Li, X., Conesa, A., Pereira, C.: GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text. Bioinformatics 34(9), 1547\u20131554 (2017). https:\/\/doi.org\/10.1093\/bioinformatics\/btx815","journal-title":"Bioinformatics"},{"key":"25_CR16","doi-asserted-by":"publisher","unstructured":"Joulin, A., Grave, E., Bojanowski, P., Mikolov, T.: Bag of tricks for efficient text classification. arXiv preprint arXiv:1607.01759 (2016). https:\/\/doi.org\/10.18653\/v1\/e17-2068","DOI":"10.18653\/v1\/e17-2068"},{"key":"25_CR17","unstructured":"Le, Q.V., Mikolov, T.: Distributed representations of sentences and documents. arXiv preprint arXiv:1405.4053 (2014)"},{"key":"25_CR18","unstructured":"http:\/\/case.medlive.cn\/all\/case-case\/index.html?ver=branch"},{"key":"25_CR19","unstructured":"https:\/\/github.com\/fxsjy\/jieba"},{"key":"25_CR20","unstructured":"Yu, F., Koltun, V.: Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122 (2015)"},{"issue":"8","key":"25_CR21","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1093\/bioinformatics\/btx761","volume":"34","author":"L Luo","year":"2017","unstructured":"Luo, L., et al.: An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition. Bioinformatics 34(8), 1381\u20131388 (2017). https:\/\/doi.org\/10.1093\/bioinformatics\/btx761","journal-title":"Bioinformatics"},{"key":"25_CR22","doi-asserted-by":"publisher","unstructured":"Bharadwaj, A., Mortensen, D., Dyer, C., Carbonell, J.: Phonologically aware neural model for named entity recognition in low resource transfer settings. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 1462\u20131472 (2016). https:\/\/doi.org\/10.18653\/v1\/d16-1153","DOI":"10.18653\/v1\/d16-1153"},{"key":"25_CR23","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-7359-5","volume-title":"Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence","year":"2017","unstructured":"Li, J., Zhou, M., Qi, G., Lao, N., Ruan, T., Du, J. (eds.): CCKS 2017. CCIS, vol. 784. Springer, Singapore (2017). https:\/\/doi.org\/10.1007\/978-981-10-7359-5"},{"key":"25_CR24","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-3146-6","volume-title":"Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding","year":"2019","unstructured":"Zhao, J., Harmelen, F., Tang, J., Han, X., Wang, Q., Li, X. (eds.): CCKS 2018. CCIS, vol. 957. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-13-3146-6"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2019: Workshop and Special Sessions"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30493-5_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:50:13Z","timestamp":1710348613000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-30493-5_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030304928","9783030304935"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30493-5_25","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":"9 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","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":"17 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}