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2020 – today
- 2020
[j3]Fenia Christopoulou
, Thy Thy Tran, Sunil Kumar Sahu, Makoto Miwa, Sophia Ananiadou:
Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods. J. Am. Medical Informatics Assoc. 27(1): 39-46 (2020)- [c10]Billy Chiu, Sunil Kumar Sahu, Derek Thomas, Neha Sengupta, Mohammady Mahdy:
Autoencoding Keyword Correlation Graph for Document Clustering. ACL 2020: 3974-3981 - [c9]Sunil Kumar Sahu, Derek Thomas, Billy Chiu, Neha Sengupta, Mohammady Mahdy:
Relation Extraction with Self-determined Graph Convolutional Network. CIKM 2020: 2205-2208 - [c8]Billy Chiu, Sunil Kumar Sahu, Neha Sengupta, Derek Thomas, Mohammady Mahdy:
Attending to Inter-sentential Features in Neural Text Classification. SIGIR 2020: 1685-1688 - [i10]Sunil Kumar Sahu, Derek Thomas, Billy Chiu, Neha Sengupta, Mohammady Mahdy:
Relation Extraction with Self-determined Graph Convolutional Network. CoRR abs/2008.00441 (2020)
2010 – 2019
- 2019
- [c7]Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network. ACL (1) 2019: 4309-4316 - [i9]Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou:
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network. CoRR abs/1906.04684 (2019) - 2018
- [j2]Sunil Kumar Sahu, Ashish Anand:
What matters in a transferable neural network model for relation classification in the biomedical domain? Artif. Intell. Medicine 87: 60-66 (2018) - [j1]Sunil Kumar Sahu, Ashish Anand:
Drug-drug interaction extraction from biomedical texts using long short-term memory network. J. Biomed. Informatics 86: 15-24 (2018) - [i8]Ameya Godbole, Aman Dalmia, Sunil Kumar Sahu:
Siamese Neural Networks with Random Forest for detecting duplicate question pairs. CoRR abs/1801.07288 (2018) - 2017
- [c6]Patchigolla V. S. S. Rahul, Sunil Kumar Sahu, Ashish Anand:
Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models. BioNLP 2017: 316-321 - [c5]Desh Raj, Sunil Kumar Sahu, Ashish Anand:
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text. CoNLL 2017: 311-321 - [c4]Kushal Chawla, Sunil Kumar Sahu, Ashish Anand:
Investigating how well contextual features are captured by bi-directional recurrent neural network models. ICON 2017: 273-282 - [i7]Sunil Kumar Sahu, Ashish Anand:
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network. CoRR abs/1701.08303 (2017) - [i6]Patchigolla V. S. S. Rahul, Sunil Kumar Sahu, Ashish Anand:
Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models. CoRR abs/1705.09516 (2017) - [i5]Sunil Kumar Sahu, Ashish Anand:
What matters in a transferable neural network model for relation classification in the biomedical domain? CoRR abs/1708.03446 (2017) - [i4]Sunil Kumar Sahu, Ashish Anand:
Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition. CoRR abs/1708.03447 (2017) - [i3]Kushal Chawla, Sunil Kumar Sahu, Ashish Anand:
Investigating how well contextual features are captured by bi-directional recurrent neural network models. CoRR abs/1709.00659 (2017) - 2016
- [c3]Sunil Kumar Sahu, Ashish Anand:
Recurrent neural network models for disease name recognition using domain invariant features. ACL (1) 2016 - [c2]Sunil Kumar Sahu, Ashish Anand, Krishnadev Oruganty, Mahanandeeshwar Gattu:
Relation extraction from clinical texts using domain invariant convolutional neural network. BioNLP@ACL 2016: 206-215 - [i2]Sunil Kumar Sahu, Ashish Anand, Krishnadev Oruganty, Mahanandeeshwar Gattu:
Relation extraction from clinical texts using domain invariant convolutional neural network. CoRR abs/1606.09370 (2016) - [i1]Sunil Kumar Sahu, Ashish Anand:
Recurrent neural network models for disease name recognition using domain invariant features. CoRR abs/1606.09371 (2016) - 2015
- [c1]Muneeb Th, Sunil Kumar Sahu, Ashish Anand:
Evaluating distributed word representations for capturing semantics of biomedical concepts. BioNLP@IJCNLP 2015: 158-163
Coauthor Index
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