{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T06:47:55Z","timestamp":1744181275576,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/bhi.2019.8834470","type":"proceedings-article","created":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T00:40:47Z","timestamp":1568335247000},"page":"1-4","source":"Crossref","is-referenced-by-count":4,"title":["Semi-Supervised Information Extraction for Cancer Pathology Reports"],"prefix":"10.1109","author":[{"given":"John X.","family":"Qiu","sequence":"first","affiliation":[]},{"given":"Shang","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Mohammed","family":"Alawad","sequence":"additional","affiliation":[]},{"given":"Noah","family":"Schaefferkoetter","sequence":"additional","affiliation":[]},{"given":"Folami","family":"Alamudun","sequence":"additional","affiliation":[]},{"given":"Hong-Jun","family":"Yoon","sequence":"additional","affiliation":[]},{"given":"Xiao-Cheng","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Georgia","family":"Tourassi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Comparative Study of CNN and RNN for Natural Language Processing","year":"2017","author":"yin","key":"ref10"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1093\/jamia\/ocx131","article-title":"Hierarchical attention networks for information extraction from cancer pathology reports","volume":"25","author":"shang","year":"2018","journal-title":"Journal of the American Medical Informatics Association"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2700722"},{"key":"ref13","first-page":"4169","article-title":"Deconvolutional paragraph representation learning","author":"zhang","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"Sequence level training with recurrent neural networks","year":"2015","author":"ranzato","key":"ref14"},{"key":"ref15","first-page":"345","article-title":"Filter pruning of convolutional neural networks for text classification: A case study of cancer pathology report comprehension. In Biomedical & Health Informatics (BHI)","author":"yoon","year":"0","journal-title":"2018 IEEE EMBS International Conference on"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-018-2511-9"},{"journal-title":"A sensitivity analysis of (and practitioners' guide to) convolutional neural networks for sentence classification","year":"2015","author":"zhang","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1100"},{"journal-title":"A guide to convolution arithmetic for deep learning","year":"2016","author":"dumoulin","key":"ref19"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref3","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"collobert","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref6","first-page":"2091","article-title":"A convolutional attention network for extreme summarization of source code","author":"allamanis","year":"0","journal-title":"International Conference on Machine Learning"},{"journal-title":"Abcnn Attention-based convolutional neural network for modeling sentence pairs","year":"2015","author":"yin","key":"ref5"},{"journal-title":"An overview of multi-task learning in deep neural networks","year":"2017","author":"ruder","key":"ref8"},{"key":"ref7","first-page":"1853","article-title":"An autoen-coder approach to learning bilingual word representations","author":"chandar","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1055\/s-0038-1634681"},{"journal-title":"SEER Cancer Statistics Review","year":"2018","author":"noone","key":"ref1"},{"key":"ref9","first-page":"3581","article-title":"Semi-supervised learning with deep generative models","author":"kingma","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref20","first-page":"517","article-title":"Practical applications of the theory of extreme values","volume":"50","author":"kimball","year":"1955","journal-title":"Journal of the American Statistical Association"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.21236\/ADA440081"}],"event":{"name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","start":{"date-parts":[[2019,5,19]]},"location":"Chicago, IL, USA","end":{"date-parts":[[2019,5,22]]}},"container-title":["2019 IEEE EMBS International Conference on Biomedical &amp; Health Informatics (BHI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8819609\/8834448\/08834470.pdf?arnumber=8834470","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:15:48Z","timestamp":1657854948000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8834470\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/bhi.2019.8834470","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}