Sunil Kumar Sahu

According to our database1, Sunil Kumar Sahu authored at least 18 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models.
CoRR, 2023

2022
DENTRA: Denoising and Translation Pre-training for Multilingual Machine Translation.
Proceedings of the Seventh Conference on Machine Translation, 2022

2020
Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods.
J. Am. Medical Informatics Assoc., 2020

Attending to Inter-sentential Features in Neural Text Classification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Relation Extraction with Self-determined Graph Convolutional Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Autoencoding Keyword Correlation Graph for Document Clustering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Drug-drug interaction extraction from biomedical texts using long short-term memory network.
J. Biomed. Informatics, 2018

Siamese Neural Networks with Random Forest for detecting duplicate question pairs.
CoRR, 2018

What matters in a transferable neural network model for relation classification in the biomedical domain?
Artif. Intell. Medicine, 2018

2017
Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition.
CoRR, 2017

Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network.
CoRR, 2017

Investigating how well contextual features are captured by bi-directional recurrent neural network models.
Proceedings of the 14th International Conference on Natural Language Processing, 2017

Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

2016
Relation extraction from clinical texts using domain invariant convolutional neural network.
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

Recurrent neural network models for disease name recognition using domain invariant features.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Evaluating distributed word representations for capturing semantics of biomedical concepts.
Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015


  Loading...