Pinar Donmez

According to our database, Pinar Donmez authored at least 29 papers between 2004 and 2024.

Collaborative distances:

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

2024

Doppelgänger's Watch: A Split Objective Approach to Large Language Models.

Shervin Ghasemlou, Ashish Katiyar, Aparajita Saraf, Seungwhan Moon, Mangesh Pujari, Pinar Donmez, Babak Damavandi, Anuj Kumar

CoRR, 2024

2021

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

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

NoiseRank: Unsupervised Label Noise Reduction with Dependence Models.

Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2014

Automatically embedding newsworthy links to articles: From implementation to evaluation.

Ioannis Arapakis, Mounia Lalmas, Hakan Ceylan, Pinar Donmez

J. Assoc. Inf. Sci. Technol., 2014

2013

<i>Introduction to Machine Learning</i>, 2nd ed., by Ethem Alpaydın. Cambridge, MA: The MIT Press 2010. ISBN: 978-0-262-01243-0. $54/£ 39.95 + 584 pages.

Pinar Donmez

Nat. Lang. Eng., 2013

Measuring inter-site engagement.

Elad Yom-Tov, Mounia Lalmas, Ricardo Baeza-Yates, Georges Dupret, Janette Lehmann, Pinar Donmez

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

The effect of links on networked user engagement.

Elad Yom-Tov, Mounia Lalmas, Georges Dupret, Ricardo Baeza-Yates, Pinar Donmez, Janette Lehmann

Proceedings of the 21st World Wide Web Conference, 2012

Learning to suggest: a machine learning framework for ranking query suggestions.

Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre Velipasaoglu

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Cost-Sensitive Multi-strategy Active Annotation for Text Classification.

Shilpa Arora, Pinar Donmez, Eric Nyberg

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Modeling Transactional Queries via Templates.

Edward Bortnikov, Pinar Donmez, Amit Kagian, Ronny Lempel

Proceedings of the Advances in Information Retrieval, 2012

Automatically embedding newsworthy links to articles.

Hakan Ceylan, Ioannis Arapakis, Pinar Donmez, Mounia Lalmas

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Unsupervised Supervised Learning II: Margin-Based Classification without Labels.

Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

2010

From Active to Proactive Learning Methods.

Pinar Donmez, Jaime G. Carbonell

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels.

Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian

J. Mach. Learn. Res., 2010

Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels

Pinar Donmez, Krishnakumar Balasubramanian, Guy Lebanon

CoRR, 2010

A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy.

Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider

Proceedings of the SIAM International Conference on Data Mining, 2010

2009

Pairwise Document Classification for Relevance Feedback.

Jonathan L. Elsas, Pinar Donmez, Jamie Callan, Jaime G. Carbonell

Proceedings of The Eighteenth Text REtrieval Conference, 2009

On the local optimality of LambdaRank.

Pinar Donmez, Krysta M. Svore, Christopher J. C. Burges

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Efficiently learning the accuracy of labeling sources for selective sampling.

Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve.

Pinar Donmez, Jaime G. Carbonell

Proceedings of the Advances in Information Retrieval, 2009

2008

Paired Sampling in Density-Sensitive Active Learning.

Pinar Donmez, Jaime G. Carbonell

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Optimizing estimated loss reduction for active sampling in rank learning.

Pinar Donmez, Jaime G. Carbonell

Proceedings of the Machine Learning, 2008

Proactive learning: cost-sensitive active learning with multiple imperfect oracles.

Pinar Donmez, Jaime G. Carbonell

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Dual Strategy Active Learning.

Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett

Proceedings of the Machine Learning: ECML 2007, 2007

2005

Supporting CSCL with automatic corpus analysis technology.

Pinar Donmez, Carolyn P. Rosé, Karsten Stegmann, Armin Weinberger, Frank Fischer

Proceedings of the Next 10 Years! Proceedings of the 2005 Conference on Computer Support for Collaborative Learning, 2005

Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment.

Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education, 2005

2004

SmartReader: An NLP-Based Interactive Reading Application for Language Learning.

Kemal Oflazer, Pinar Donmez

Proceedings of the Computer and Information Sciences, 2004