Veysel Kocaman

According to our database1, Veysel Kocaman authored at least 17 papers between 2020 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
TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites.
J. Inf. Sci., December, 2023

Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets.
CoRR, 2023

Automated De-Identification of Arabic Medical Records.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

2022
Accurate Clinical and Biomedical Named Entity Recognition at Scale.
Softw. Impacts, 2022

Connecting the dots in clinical document understanding with Relation Extraction at scale.
Softw. Impacts, 2022

Mining Adverse Drug Reactions from Unstructured Mediums at Scale.
CoRR, 2022

Biomedical Named Entity Recognition in Eight Languages with Zero Code Changes.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

Saliency Can Be All You Need in Contrastive Self-supervised Learning.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Understanding COVID-19 News Coverage using Medical NLP.
Proceedings of Text2Story, 2022

John_Snow_Labs@SMM4H'22: Social Media Mining for Health (#SMM4H) with Spark NLP.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Deeper Clinical Document Understanding using Relation Extraction.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021
Spark NLP: Natural Language Understanding at Scale.
Softw. Impacts, 2021

The Unreasonable Effectiveness of the Final Batch Normalization Layer.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Improving Clinical Document Understanding on COVID-19 Research with Spark NLP.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020
Biomedical Named Entity Recognition at Scale.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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