Veysel Kocaman

According to our database, Veysel Kocaman authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LangTest: A comprehensive evaluation library for custom LLM and NLP models.

Arshaan Nazir, Thadaka Kalyan Chakravarthy, David Amore Cecchini, Rakshit Khajuria, Prikshit Sharma, Ali Tarik Mirik, Veysel Kocaman, David Talby

Softw. Impacts, 2024

2023

TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites.

Murat Aydogan, Veysel Kocaman

J. Inf. Sci., December, 2023

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

Veysel Kocaman, Hasham Ul Haq, David Talby

CoRR, 2023

Automated De-Identification of Arabic Medical Records.

Veysel Kocaman, Youssef Mellah, Hasham Ul Haq, David Talby

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

2022

Accurate Clinical and Biomedical Named Entity Recognition at Scale.

Veysel Kocaman, David Talby

Softw. Impacts, 2022

Connecting the dots in clinical document understanding with Relation Extraction at scale.

Hasham Ul Haq, Veysel Kocaman, David Talby

Softw. Impacts, 2022

Mining Adverse Drug Reactions from Unstructured Mediums at Scale.

Hasham Ul Haq, Veysel Kocaman, David Talby

CoRR, 2022

Biomedical Named Entity Recognition in Eight Languages with Zero Code Changes.

Veysel Kocaman, Gursev Pirge, Bunyamin Polat, David Talby

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.

Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Understanding COVID-19 News Coverage using Medical NLP.

Ali Emre Varol, Veysel Kocaman, Hasham Ul Haq, David Talby

Proceedings of Text2Story, 2022

John_Snow_Labs@SMM4H'22: Social Media Mining for Health (#SMM4H) with Spark NLP.

Veysel Kocaman, Cabir Celik, Damla Gurbaz, Gursev Pirge, Bunyamin Polat, Halil Saglamlar, Meryem Vildan Sarikaya, Gokhan Turer, David Talby

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Deeper Clinical Document Understanding using Relation Extraction.

Hasham Ul Haq, Veysel Kocaman, David Talby

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.

Veysel Kocaman, David Talby

Softw. Impacts, 2021

The Unreasonable Effectiveness of the Final Batch Normalization Layer.

Veysel Kocaman, Ofer M. Shir, Thomas Bäck

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.

Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy

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.

Veysel Kocaman, David Talby

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.

Veysel Kocaman, David Talby

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.

Veysel Kocaman, Ofer M. Shir, Thomas Bäck

Proceedings of the 25th International Conference on Pattern Recognition, 2020