228 © 2017 IMIA and Schattauer GmbH Making Sense of Big Textual Data for Health

First Page		Document Content
Date: 2017-10-19 20:58:26 Natural language processing Computational linguistics Health Artificial intelligence Application software Artificial intelligence applications Statistical natural language processing Biomedical text mining Apache cTAKES Text mining Health informatics Information extraction		228 © 2017 IMIA and Schattauer GmbH Making Sense of Big Textual Data for Health Add to Reading List Source URL: www.timalthoff.com Download Document from Source Website File Size: 702,76 KB Share Document on Facebook

	Comparable Study of Event Extraction in Newswire and Biomedical Domains Makoto Miwa†,‡ Paul Thompson† Ioannis Korkontzelos† Sophia Ananiadou† † National Centre for Text Mining and School of Computer Science, DocID: 1titt - View Document
	 Conference Introduction The 2nd International Conference on Advances in Bioscience and Bioengineering (ICABB 2016) （http://www.icabb.org/） will be held in San Francisco, USA, during October 26-28, 2016. ICABB 201 DocID: 1r09k - View Document
	http://www.eecis.udel.edu/~ypeng Yifan Peng DocID: 1p8fC - View Document
	doi:j.tibtech DocID: 1lYyG - View Document
	New Resources and Perspectives for Biomedical Event Extraction Sampo Pyysalo1 , Pontus Stenetorp2 , Tomoko Ohta1 , Jin-Dong Kim3 and Sophia Ananiadou1 1 National Centre for Text Mining and University of Manchester, Manch DocID: 1lAuG - View Document