Ashequl Qadir
Cited by
Cited by
Sarcasm as contrast between a positive sentiment and negative situation
E Riloff, A Qadir, P Surve, L De Silva, N Gilbert, R Huang
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
Neural paraphrase generation with stacked residual lstm networks
A Prakash, SA Hasan, K Lee, V Datla, A Qadir, J Liu, O Farri
arXiv preprint arXiv:1610.03098, 2016
Classifying Sentences as Speech Acts in Message Board Posts
A Qadir, E Riloff
Empirical Methods in Natural Language Processing, 748-758, 2011
Adverse drug event detection in tweets with semi-supervised convolutional neural networks
K Lee, A Qadir, SA Hasan, V Datla, A Prakash, J Liu, O Farri
Proceedings of the 26th International Conference on World Wide Web, 705-714, 2017
Dr-bilstm: Dependent reading bidirectional lstm for natural language inference
R Ghaeini, SA Hasan, V Datla, J Liu, K Lee, A Qadir, Y Ling, A Prakash, ...
arXiv preprint arXiv:1802.05577, 2018
Bootstrapped learning of emotion hashtags# hashtags4you
A Qadir, E Riloff
Proceedings of the 4th workshop on computational approaches to subjectivity …, 2013
Condensed memory networks for clinical diagnostic inferencing
A Prakash, S Zhao, SA Hasan, V Datla, K Lee, A Qadir, J Liu, O Farri
arXiv preprint arXiv:1612.01848, 2016
Learning emotion indicators from tweets: Hashtags, hashtag patterns, and phrases
A Qadir, E Riloff
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
Large scale automated reading of frontal and lateral chest x-rays using dual convolutional neural networks
J Rubin, D Sanghavi, C Zhao, K Lee, A Qadir, M Xu-Wilson
arXiv preprint arXiv:1804.07839, 2018
Detecting opinion sentences specific to product features in customer reviews using typed dependency relations
A Qadir
Proceedings of the workshop on events in emerging text types, 38-43, 2009
Neural clinical paraphrase generation with attention
SA Hasan, B Liu, J Liu, A Qadir, K Lee, V Datla, A Prakash, O Farri
Proceedings of the Clinical Natural Language Processing Workshop …, 2016
Diagnostic inferencing via improving clinical concept extraction with deep reinforcement learning: A preliminary study
Y Ling, SA Hasan, V Datla, A Qadir, K Lee, J Liu, O Farri
Machine Learning for Healthcare Conference, 271-285, 2017
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing
J Liu, A Zarshenas, A Qadir, Z Wei, L Yang, L Fajardo, K Suzuki
Medical Imaging 2018: Image Processing 10574, 105740F, 2018
Activity modeling in email
A Qadir, M Gamon, P Pantel, A Hassan
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
Semantic lexicon induction from twitter with pattern relatedness and flexible term length
A Qadir, PN Mendes, D Gruhl, N Lewis
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence …, 2015
Lalindra De Silva
E Riloff, A Qadir, P Surve
Nathan Gilbert, and Ruihong Huang,“Sarcasm as contrast between a positive …, 2013
Learning to diagnose: assimilating clinical narratives using deep reinforcement learning
Y Ling, SA Hasan, V Datla, A Qadir, K Lee, J Liu, O Farri
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
Automatically inferring implicit properties in similes
A Qadir, E Riloff, MA Walker
Ensemble-based semantic lexicon induction for semantic tagging
A Qadir, E Riloff
* SEM 2012: The First Joint Conference on Lexical and Computational …, 2012
Automated clinical diagnosis: The role of content in various sections of a clinical document
V Datla, SA Hasan, A Qadir, K Lee, Y Ling, J Liu, O Farri
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
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