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Impact of detecting clinical trial elements in exploration of COVID-19 literature


May 25, 2021
Simon Šuster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno Yepes, David Martinez, Yulia Otmakhova

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* Accepted at HealthNLP'21 

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COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research


Aug 18, 2020
Karin Verspoor, Simon Šuster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno Yepes, David Martinez

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* COVID-SEE is available at http://covid-see.com 

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Distilling neural networks into skipgram-level decision lists


May 18, 2020
Madhumita Sushil, Simon Šuster, Walter Daelemans

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Why can't memory networks read effectively?


Oct 16, 2019
Simon Šuster, Madhumita Sushil, Walter Daelemans

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Rule induction for global explanation of trained models


Aug 29, 2018
Madhumita Sushil, Simon Šuster, Walter Daelemans

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* Accepted at the Workshop on 'Analyzing and interpreting neural networks for NLP' (BlackboxNLP), EMNLP 2018 

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Patient representation learning and interpretable evaluation using clinical notes


Jul 03, 2018
Madhumita Sushil, Simon Šuster, Kim Luyckx, Walter Daelemans

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* Journal of Biomedical Informatics Volume 84C (2018) pp. 103-113 
* Accepted manuscript at Journal of Biomedical Informatics 

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CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension


Mar 26, 2018
Simon Šuster, Walter Daelemans

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* Accepted at NAACL 2018 

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Unsupervised patient representations from clinical notes with interpretable classification decisions


Nov 14, 2017
Madhumita Sushil, Simon Šuster, Kim Luyckx, Walter Daelemans

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* Accepted poster at NIPS 2017 Workshop on Machine Learning for Health (https://ml4health.github.io/2017/

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Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings


Oct 19, 2017
Pieter Fivez, Simon Šuster, Walter Daelemans

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* CLIN Journal, Volume 7, 2017 
* Appears in volume 7 of the CLIN Journal, http://www.clinjournal.org/biblio/volume 

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