Sunil Kumar Sahu

Research Staff
Inception Institute of Artificial Intelligence (IIAI) Abu Dhabi
Abu Dhabi, UAE
Email: sunil.sahu@inceptioniai.org


Journal articles Conferences Book Chapters Technical Reports

Journal Articles

  1. Adverse Drug Events and Medication Relation Extraction in EHRs with Ensemble Deep Learning Methods. Fenia Christopoulou, Thy Thy Tran, Sunil Kumar Sahu, Makoto Miwa and Sophia Ananiadou. Journal of the American Medical Informatics Association, 2019. Publisher's site   Preprint  Code & data
  2. Drug-drug interaction extraction from biomedical text using long short term memory network. Sunil Kumar Sahu, Ashish Anand. Journal of Biomedical and Informatics, 2018. Publisher's site   Preprint  Code & data
  3. What matters in a transferable neural network model for relation classification in the biomedical domain?. Sunil Kumar Sahu, Ashish Anand. Artificial Intelligence in Medicine, 2018. Publisher's site   Preprint  Code & data
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Conferences/Workshops

  1. Relation Extraction with Self-determined Graph Convolutional Networks. Sunil Kumar Sahu, Derek Thomas, Billy Chiu, Neha Sengupta and Mohammady Mahdy. In proceedings of the CIKM, 2020. (Accepted) Publisher's site  Preprint 
  2. Attending to Inter-sentential Features in Neural Text Classification. Billy Chiu, Sunil Kumar Sahu, Derek Thomas, Neha Sengupta and Mohammady Mahdy. In proceedings of the SIGIR, 2020 Publisher's site  Preprint 
  3. Autoencoding Keyword Correlation Graph for Document Clustering. Billy Chiu, Sunil Kumar Sahu, Derek Thomas, Neha Sengupta and Mohammady Mahdy. In proceedings of the ACL, 2020. Publisher's site  Preprint 
  4. Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network. Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa and Sophia Ananiadou. In proceedings of the ACL, 2019. Publisher's site  Preprint  data
  5. Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text. Desh Raj, Sunil Kumar Sahu, Ashish Anand. In proceedings of the CoNLL, 2017. Publisher's site  Preprint  code
  6. Biomedical event trigger identification using bidirectional recurrent neural network based models. Patchigolla V S S Rahul, Sunil Kumar Sahu, Ashish Anand. In proceedings of the BioNLP at ACL, 2017. Publisher's site  Preprint  code
  7. Investigating how well contextual features are captured by bi-directional recurrent neural network models. Kushal Chawla, Sunil Kumar Sahu, Ashish Anand. In proceedings of the ICON, 2017. Publisher's site  Preprint  code
  8. Recurrent neural network models for disease name recognition using domain invariant features. Sunil Kumar Sahu, Ashish Anand. In proceedings of the ACL, 2016. Publisher's site  Preprint  code 
  9. Relation extraction from clinical texts using domain invariant convolutional neural network. Sunil Kumar Sahu, Ashish Anand. In proceedings of the BioNLP at ACL, 2016. Publisher's site  Preprint  code
  10. Predicting online doctor ratings from user reviews using convolutional neural networks. Ranti D Sharma, Samarth Tripathi, Sunil Kumar Sahu, Sudhanshu Mittal, Ashish Anand. In proceedings of the ICMLC, 2016. Publisher's site  Preprint  code
  11. Evaluating distributed word representations for capturing semantics of biomedical concepts. Muneeb TH, Sunil Kumar Sahu, Ashish Anand. In proceedings of the BioNLP at ACL, 2015. Publisher's site  Preprint  code
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Book Chapters

  1. Unified neural architecture for drug, disease and clinical entity recognition. Sunil Kumar Sahu, Ashish Anand. Deep learning Techniques for Biomedical and Health informatics (DL-BHI), Elsevier 2020, Publisher's site  Preprint
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Technical Reports

  1. Neural Architectures for Named Entity Recognition and Relation Classification in Biomedical and Clinical Texts. Sunil Kumar Sahu. PhD Thesis. Publisher's site  Preprint 
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