SmartReader: An NLP-Based Interactive Reading Application for Language Learning. - Kemal Oflazer; Pinar Donmez (ISCIS, 2004)

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 (AIED, 2005)

Supporting CSCL with automatic corpus analysis technology. - Pinar Donmez; Carolyn P. Rosé; Karsten Stegmann; Armin Weinberger; Frank Fischer 001 (CSCL, 2005)

Dual Strategy Active Learning. - Pinar Donmez; Jaime G. Carbonell; Paul N. Bennett (ECML, 2007)

Proactive learning: cost-sensitive active learning with multiple imperfect oracles. - Pinar Donmez; Jaime G. Carbonell (CIKM, 2008)

Optimizing estimated loss reduction for active sampling in rank learning. - Pinar Donmez; Jaime G. Carbonell (ICML, 2008)

Paired Sampling in Density-Sensitive Active Learning. - Pinar Donmez; Jaime G. Carbonell (ISAIM, 2008)

Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. - Pinar Donmez; Jaime G. Carbonell (ECIR, 2009)

Efficiently learning the accuracy of labeling sources for selective sampling. - Pinar Donmez; Jaime G. Carbonell; Jeff G. Schneider (KDD, 2009)

On the local optimality of LambdaRank. - Pinar Donmez; Krysta M. Svore; Christopher J. C. Burges (SIGIR, 2009)

Pairwise Document Classification for Relevance Feedback. - Jonathan L. Elsas; Pinar Donmez; Jamie Callan; Jaime G. Carbonell (TREC, 2009)

A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. - Pinar Donmez; Jaime G. Carbonell; Jeff G. Schneider (SDM, 2010)

Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels - Pinar Donmez; Krishnakumar Balasubramanian 002; Guy Lebanon (CoRR, 2010)

Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels. - Pinar Donmez; Guy Lebanon; Krishnakumar Balasubramanian 002 (J. Mach. Learn. Res., 2010)

From Active to Proactive Learning Methods. - Pinar Donmez; Jaime G. Carbonell (Advances in Machine Learning I, 2010)

Unsupervised Supervised Learning II: Margin-Based Classification without Labels. - Krishnakumar Balasubramanian 002; Pinar Donmez; Guy Lebanon (AISTATS, 2011)

Automatically embedding newsworthy links to articles. - Hakan Ceylan; Ioannis Arapakis; Pinar Donmez; Mounia Lalmas (CIKM, 2012)

Modeling Transactional Queries via Templates. - Edward Bortnikov; Pinar Donmez; Amit Kagian; Ronny Lempel (ECIR, 2012)

Cost-Sensitive Multi-strategy Active Annotation for Text Classification. - Shilpa Arora; Pinar Donmez; Eric Nyberg (ICMLA (1), 2012)

Learning to suggest: a machine learning framework for ranking query suggestions. - Umut Ozertem; Olivier Chapelle; Pinar Donmez; Emre Velipasaoglu (SIGIR, 2012)

The effect of links on networked user engagement. - Elad Yom-Tov; Mounia Lalmas; Georges Dupret; Ricardo Baeza-Yates; Pinar Donmez; Janette Lehmann (WWW (Companion Volume), 2012)

Measuring inter-site engagement. - Elad Yom-Tov; Mounia Lalmas; Ricardo Baeza-Yates; Georges Dupret; Janette Lehmann; Pinar Donmez (IEEE BigData, 2013)

Introduction to Machine Learning, 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)

Automatically embedding newsworthy links to articles: From implementation to evaluation. - Ioannis Arapakis; Mounia Lalmas; Hakan Ceylan; Pinar Donmez (J. Assoc. Inf. Sci. Technol., 2014)

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 001 (COLING (Industry), 2020)

NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. - Karishma Sharma; Pinar Donmez; Enming Luo; Yan Liu 002; I. Zeki Yalniz (ECCV (27), 2020)

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 001 (EMNLP (1), 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 001 (SIGDIAL, 2021)

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)