David Talby

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 19

Top Topics

Document Understanding

Top Venues

Publications

Arshaan Nazir, Thadaka Kalyan Chakravarthy, David Amore Cecchini, Rakshit Khajuria, Prikshit Sharma, Ali Tarik Mirik, Veysel Kocaman, David Talby
LangTest: A comprehensive evaluation library for custom LLM and NLP models. Softw. Impacts 19 (2024)
Veysel Kocaman, Hasham Ul Haq, David Talby
Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets. CoRR (2023)
Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5 (7) (2023)
Veysel Kocaman, Youssef Mellah, Hasham Ul Haq, David Talby
Automated De-Identification of Arabic Medical Records. ArabicNLP (2023)
Ali Emre Varol, Veysel Kocaman, Hasham Ul Haq, David Talby
Understanding COVID-19 News Coverage using Medical NLP. CoRR (2022)
Veysel Kocaman, David Talby
Accurate Clinical and Biomedical Named Entity Recognition at Scale. Softw. Impacts 13 (2022)
Hasham Ul Haq, Veysel Kocaman, David Talby
Mining Adverse Drug Reactions from Unstructured Mediums at Scale. CoRR (2022)
Hasham Ul Haq, Veysel Kocaman, David Talby
Deeper Clinical Document Understanding using Relation Extraction. SDU@AAAI (2022)
Veysel Kocaman, Gursev Pirge, Bunyamin Polat, David Talby
Biomedical Named Entity Recognition in Eight Languages with Zero Code Changes. IberLEF@SEPLN (2022)
Ali Emre Varol, Veysel Kocaman, Hasham Ul Haq, David Talby
Understanding COVID-19 News Coverage using Medical NLP. Text2Story@ECIR (2022)
Hasham Ul Haq, Veysel Kocaman, David Talby
Connecting the dots in clinical document understanding with Relation Extraction at scale. Softw. Impacts 12 (2022)
Veysel Kocaman, Cabir Celik, Damla Gurbaz, Gursev Pirge, Bunyamin Polat, Halil Saglamlar, Meryem Vildan Sarikaya, Gokhan Turer, David Talby
John_Snow_Labs@SMM4H'22: Social Media Mining for Health (#SMM4H) with Spark NLP. SMM4H@COLING (2022)
Veysel Kocaman, David Talby
Improving Clinical Document Understanding on COVID-19 Research with Spark NLP. SDU@AAAI (2021)
Hasham Ul Haq, Veysel Kocaman, David Talby
Deeper Clinical Document Understanding Using Relation Extraction. CoRR (2021)
Veysel Kocaman, David Talby
Spark NLP: Natural Language Understanding at Scale. CoRR (2021)
Veysel Kocaman, David Talby
Spark NLP: Natural Language Understanding at Scale. Softw. Impacts 8 (2021)
Veysel Kocaman, David Talby
Improving Clinical Document Understanding on COVID-19 Research with Spark NLP. CoRR (2020)
Veysel Kocaman, David Talby
Biomedical Named Entity Recognition at Scale. CoRR (2020)
Veysel Kocaman, David Talby
Biomedical Named Entity Recognition at Scale. ICPR Workshops (1) (2020)
David Talby, Yael Dubinsky
Governance of an agile software project. SDG@ICSE (2009)
David Talby
The Perceived Value of Authoring and Automating Acceptance Tests Using a Model Driven Development Toolset. AST (2009)
David Talby, Dror G. Feitelson, Adi Raveh
A Co-Plot analysis of logs and models of parallel workloads. ACM Trans. Model. Comput. Simul. 17 (3) (2007)
David Talby, Orit Hazzan, Yael Dubinsky, Arie Keren
Agile Software Testing in a Large-Scale Project. IEEE Softw. 23 (4) (2006)
David Talby, Orit Hazzan, Yael Dubinsky, Arie Keren
Reflections on Reflection in Agile Software Development. AGILE (2006)
Yael Dubinsky, Orit Hazzan, David Talby, Arie Keren
System Analysis and Design in a Large-Scale Software Project: The Case of Transition to Agile Development. ICEIS (3) (2006)
Yael Dubinsky, Orit Hazzan, David Talby, Arie Keren
Agile System Analysis and Design. ICEIS (Selected Papers) (2006)
David Talby, Ori Nakar, Noam Shmueli, Eli Margolin, Arie Keren
A Process-Complete Automatic Acceptance Testing Framework. SwSTE (2005)
Yael Dubinsky, David Talby, Orit Hazzan, Arie Keren
Agile Metrics at the Israeli Air Force. AGILE (2005)
David Talby, Dror G. Feitelson
Improving and Stabilizing Parallel Computer Performance Using Adaptive Backfilling. IPDPS (2005)
Julia Zilber, Ofer Amit, David Talby
What is worth learning from parallel workloads?: a user and session based analysis. ICS (2005)
David Talby, Dror G. Feitelson
Supporting Priorities and Improving Utilization of the IBM SP Scheduler Using Slack-Based Backfilling. IPPS/SPDP (1999)
David Talby, Dror G. Feitelson, Adi Raveh
Comparing Logs and Models of Parallel Workloads Using the Co-plot Method. JSSPP (1999)
Steve J. Chapin, Walfredo Cirne, Dror G. Feitelson, James Patton Jones, Scott T. Leutenegger, Uwe Schwiegelshohn, Warren Smith, David Talby
Benchmarks and Standards for the Evaluation of Parallel Job Schedulers. JSSPP (1999)