{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T10:27:44Z","timestamp":1773311264180,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Shared Resource Facilities of the University of Kentucky Markey Cancer Center","award":["P30CA177558"],"award-info":[{"award-number":["P30CA177558"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1145\/3459930.3469541","type":"proceedings-article","created":{"date-parts":[[2021,7,30]],"date-time":"2021-07-30T18:30:10Z","timestamp":1627669810000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization"],"prefix":"10.1145","author":[{"given":"Anthony","family":"Rios","sequence":"first","affiliation":[{"name":"University of Texas at San Antonio"}]},{"given":"Eric B.","family":"Durbin","sequence":"additional","affiliation":[{"name":"University of Kentucky"}]},{"given":"Isaac","family":"Hands","sequence":"additional","affiliation":[{"name":"Kentucky Cancer Registry"}]},{"given":"Ramakanth","family":"Kavuluru","sequence":"additional","affiliation":[{"name":"University of Kentucky"}]}],"member":"320","published-online":{"date-parts":[[2021,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocz153"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2018.8333408"},{"key":"e_1_3_2_1_3_1","volume-title":"Jong Cheol Jeong, et al","author":"Alawad Mohammed M","year":"2019","unstructured":"Mohammed M Alawad, Shang Gao, John X Qiu, Noah T Schaefferkoetter, Jacob Hinkle, Hong-Jun Yoon, Blair Christian, Xiao-Cheng Wu, Eric B Durbin, Jong Cheol Jeong, et al. 2019. Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. Technical Report. Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States)."},{"key":"e_1_3_2_1_4_1","volume-title":"36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics","volume":"1","author":"Baker Collin F","year":"1998","unstructured":"Collin F Baker, Charles J Fillmore, and John B Lowe. 1998. The berkeley framenet project. In 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1. 86--90."},{"key":"e_1_3_2_1_5_1","volume-title":"The unified medical language system (UMLS): integrating biomedical terminology. Nucleic acids research 32, suppl_1","author":"Bodenreider Olivier","year":"2004","unstructured":"Olivier Bodenreider. 2004. The unified medical language system (UMLS): integrating biomedical terminology. Nucleic acids research 32, suppl_1 (2004), D267--D270."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143867"},{"key":"e_1_3_2_1_7_1","volume-title":"Knowledge-aware Zero-Shot Learning: Survey and Perspective. arXiv preprint arXiv:2103.00070","author":"Chen Jiaoyan","year":"2021","unstructured":"Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z Pan, and Huajun Chen. 2021. Knowledge-aware Zero-Shot Learning: Survey and Perspective. arXiv preprint arXiv:2103.00070 (2021)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Kevin De Angeli Shang Gao Mohammed Alawad Hong-Jun Yoon Noah Schaefferkoetter Xiao-Cheng Wu Eric B Durbin Jennifer Dohertty Antoinette Stroup Linda Coyle et al. 2021. Deep active learning for classifying cancer pathology reports. BMC bioinformatics 22 1 (2021) 1--25.","DOI":"10.1186\/s12859-021-04047-1"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3307339.3342173"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1184"},{"key":"e_1_3_2_1_11_1","volume-title":"International Classification of Diseases for Oncology","author":"Sobin Parkin Whelan Frittz Jack Shanmugaratnam","year":"2001","unstructured":"Jack Shanmugaratnam Sobin Parkin Whelan Frittz, Percy. 2001. International Classification of Diseases for Oncology; Third Edition. (2001)."},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 758--764","author":"Ganitkevitch Juri","year":"2013","unstructured":"Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013. PPDB: The paraphrase database. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 758--764."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocx131"},{"key":"e_1_3_2_1_14_1","volume-title":"Learning to forget: Continual prediction with LSTM. Neural computation 12, 10","author":"Gers Felix A","year":"2000","unstructured":"Felix A Gers, J\u00fcrgen Schmidhuber, and Fred Cummins. 2000. Learning to forget: Continual prediction with LSTM. Neural computation 12, 10 (2000), 2451--2471."},{"key":"e_1_3_2_1_15_1","volume-title":"Supervised sequence labelling with recurrent neural networks","author":"Graves Alex","unstructured":"Alex Graves. 2012. Supervised sequence labelling with recurrent neural networks. Vol. 385. Springer."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1469"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1031"},{"key":"e_1_3_2_1_18_1","unstructured":"National Cancer Institute. 2017. Overview of the SEER Program. https:\/\/seer.cancer.gov\/about\/overview.html."},{"key":"e_1_3_2_1_19_1","volume-title":"P Levillain, Pierre Ingrand, and Vincent Claveau.","author":"Jouhet Vianney","year":"2012","unstructured":"Vianney Jouhet, Georges Defossez, Anita Burgun, Pierre Le Beux, P Levillain, Pierre Ingrand, and Vincent Claveau. 2012. Automated classification of free-text pathology reports for registration of incident cases of cancer. Methods of information in medicine 51, 03 (2012), 242--251."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13326-017-0114-4"},{"key":"e_1_3_2_1_21_1","first-page":"112","article-title":"Automatic extraction of ICD-O-3 primary sites from cancer pathology reports","volume":"2013","author":"Kavuluru Ramakanth","year":"2013","unstructured":"Ramakanth Kavuluru, Isaac Hands, Eric B Durbin, and Lisa Witt. 2013. Automatic extraction of ICD-O-3 primary sites from cancer pathology reports. AMIA Summits on Translational Science Proceedings 2013 (2013), 112.","journal-title":"AMIA Summits on Translational Science Proceedings"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"e_1_3_2_1_23_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRR abs\/1412.6980 (2014). http:\/\/arxiv.org\/abs\/1412.6980"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-1003-9"},{"key":"e_1_3_2_1_25_1","volume-title":"Deep learning in bioinformatics: introduction, application, and perspective in big data era. arXiv preprint arXiv:1903.00342","author":"Li Yu","year":"2019","unstructured":"Yu Li, Chao Huang, Lizhong Ding, Zhongxiao Li, Yijie Pan, and Xin Gao. 2019. Deep learning in bioinformatics: introduction, application, and perspective in big data era. arXiv preprint arXiv:1903.00342 (2019)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Hui Liu Danqing Zhang Bing Yin and Xiaodan Zhu. 2021. Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. arXiv:2104.01666 [cs.CL]","DOI":"10.18653\/v1\/2021.naacl-main.83"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. AAAI Press, 2873--2879","author":"Liu Pengfei","year":"2016","unstructured":"Pengfei Liu, Xipeng Qiu, and Xuanjing Huang. 2016. Recurrent neural network for text classification with multi-task learning. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. AAAI Press, 2873--2879."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1001"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.724"},{"key":"e_1_3_2_1_30_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems. 3111--3119."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1093\/ijl\/3.4.235"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1100"},{"key":"e_1_3_2_1_33_1","volume-title":"Scikit-learn: Machine learning in Python. the Journal of machine Learning research 12","author":"Pedregosa Fabian","year":"2011","unstructured":"Fabian Pedregosa, Ga\u00ebl Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. 2011. Scikit-learn: Machine learning in Python. the Journal of machine Learning research 12 (2011), 2825--2830."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_35_1","volume-title":"Deep learning for automated extraction of primary sites from cancer pathology reports","author":"Qiu John X","year":"2017","unstructured":"John X Qiu, Hong-Jun Yoon, Paul A Fearn, and Georgia D Tourassi. 2017. Deep learning for automated extraction of primary sites from cancer pathology reports. IEEE journal of biomedical and health informatics 22, 1 (2017), 244--251."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2700722"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1189"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1352"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1352"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2020.103564"},{"key":"e_1_3_2_1_41_1","volume-title":"INNS Conference on Big Data. Springer, 195--204","author":"Yoon Hong-Jun","year":"2016","unstructured":"Hong-Jun Yoon, Arvind Ramanathan, and Georgia Tourassi. 2016. Multi-task deep neural networks for automated extraction of primary site and laterality information from cancer pathology reports. In INNS Conference on Big Data. Springer, 195--204."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-6106"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.104"}],"event":{"name":"BCB '21: 12th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","location":"Gainesville Florida","acronym":"BCB '21","sponsor":["SIGBIOM ACM Special Interest Group on Biomedical Computing"]},"container-title":["Proceedings of the 12th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459930.3469541","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459930.3469541","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:43Z","timestamp":1750191463000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459930.3469541"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":43,"alternative-id":["10.1145\/3459930.3469541","10.1145\/3459930"],"URL":"https:\/\/doi.org\/10.1145\/3459930.3469541","relation":{},"subject":[],"published":{"date-parts":[[2021,8]]},"assertion":[{"value":"2021-08-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}