Pinar Donmez
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
14
Active years
2005–2021
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | EMNLP | Building Adaptive Acceptability Classifiers for Neural NLG. | Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White |
| 2021 | SIGdial | Getting to Production with Few-shot Natural Language Generation Models. | Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White |
| 2020 | COLING | Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. | Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White |
| 2020 | ECCV | NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. | Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz |
| 2012 | CIKM | Automatically embedding newsworthy links to articles. | Hakan Ceylan, Ioannis Arapakis, Pinar Donmez, Mounia Lalmas |
| 2012 | ECIR | Modeling Transactional Queries via Templates. | Edward Bortnikov, Pinar Donmez, Amit Kagian, Ronny Lempel |
| 2012 | ICMLA | Cost-Sensitive Multi-strategy Active Annotation for Text Classification. | Shilpa Arora, Pinar Donmez, Eric Nyberg |
| 2012 | WWW | The effect of links on networked user engagement. | Elad Yom-Tov, Mounia Lalmas, Georges Dupret, Ricardo Baeza-Yates, Pinar Donmez, Janette Lehmann |
| 2012 | SIGIR | Learning to suggest: a machine learning framework for ranking query suggestions. | Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre Velipasaoglu |
| 2010 | SDM | A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. | Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider |
| 2009 | ECIR | Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. | Pinar Donmez, Jaime G. Carbonell |
| 2009 | KDD | Efficiently learning the accuracy of labeling sources for selective sampling. | Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider |
| 2009 | SIGIR | On the local optimality of LambdaRank. | Pinar Donmez, Krysta M. Svore, Christopher J. C. Burges |
| 2008 | CIKM | Proactive learning: cost-sensitive active learning with multiple imperfect oracles. | Pinar Donmez, Jaime G. Carbonell |
| 2008 | ICML | Optimizing estimated loss reduction for active sampling in rank learning. | Pinar Donmez, Jaime G. Carbonell |
| 2008 | ISAIM | Paired Sampling in Density-Sensitive Active Learning. | Pinar Donmez, Jaime G. Carbonell |
| 2005 | AIED | Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. | Carolyn Penstein Ros, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan |