Pinar Donmez

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 6

Top Topics

User Engagement

Natural Language Generation

Edge Enhancement

Top Venues

Nat. Lang. Eng.

Publications

Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White
Building Adaptive Acceptability Classifiers for Neural NLG. EMNLP (1) (2021)
Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White
Getting to Production with Few-shot Natural Language Generation Models. SIGDIAL (2021)
Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. ECCV (27) (2020)
Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. COLING (Industry) (2020)
Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. CoRR (2020)
Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. CoRR (2020)
Ioannis Arapakis, Mounia Lalmas, Hakan Ceylan, Pinar Donmez
Automatically embedding newsworthy links to articles: From implementation to evaluation. J. Assoc. Inf. Sci. Technol. 65 (1) (2014)
Elad Yom-Tov, Mounia Lalmas, Ricardo Baeza-Yates, Georges Dupret, Janette Lehmann, Pinar Donmez
Measuring inter-site engagement. IEEE BigData (2013)
Pinar Donmez
, 2nd ed., by Ethem Alpaydın. Cambridge, MA: The MIT Press 2010. ISBN: 978-0-262-01243-0. $54/£ 39.95 + 584 pages. Nat. Lang. Eng. 19 (2) (2013)
Shilpa Arora, Pinar Donmez, Eric Nyberg
Cost-Sensitive Multi-strategy Active Annotation for Text Classification. ICMLA (1) (2012)
Elad Yom-Tov, Mounia Lalmas, Georges Dupret, Ricardo Baeza-Yates, Pinar Donmez, Janette Lehmann
The effect of links on networked user engagement. WWW (Companion Volume) (2012)
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre Velipasaoglu
Learning to suggest: a machine learning framework for ranking query suggestions. SIGIR (2012)
Edward Bortnikov, Pinar Donmez, Amit Kagian, Ronny Lempel
Modeling Transactional Queries via Templates. ECIR (2012)
Hakan Ceylan, Ioannis Arapakis, Pinar Donmez, Mounia Lalmas
Automatically embedding newsworthy links to articles. CIKM (2012)
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Unsupervised Supervised Learning II: Margin-Based Classification without Labels. AISTATS (2011)
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels. J. Mach. Learn. Res. 12 (2011)
Pinar Donmez, Krishnakumar Balasubramanian, Guy Lebanon
Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels CoRR (2010)
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels. J. Mach. Learn. Res. 11 (2010)
Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. SDM (2010)
Pinar Donmez, Krysta M. Svore, Christopher J. C. Burges
On the local optimality of LambdaRank. SIGIR (2009)
Jonathan L. Elsas, Pinar Donmez, Jamie Callan, Jaime G. Carbonell
Pairwise Document Classification for Relevance Feedback. TREC (2009)
Pinar Donmez, Jaime G. Carbonell
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. ECIR (2009)
Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider
Efficiently learning the accuracy of labeling sources for selective sampling. KDD (2009)
Pinar Donmez, Jaime G. Carbonell
Paired Sampling in Density-Sensitive Active Learning. ISAIM (2008)
Pinar Donmez, Jaime G. Carbonell
Proactive learning: cost-sensitive active learning with multiple imperfect oracles. CIKM (2008)
Pinar Donmez, Jaime G. Carbonell
Optimizing estimated loss reduction for active sampling in rank learning. ICML (2008)
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
Dual Strategy Active Learning. ECML (2007)
Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan
Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. AIED (2005)
Pinar Donmez, Carolyn Penstein Rosé, Karsten Stegmann, Armin Weinberger, Frank Fischer
Supporting CSCL with automatic corpus analysis technology. CSCL (2005)
Kemal Oflazer, Pinar Donmez
SmartReader: An NLP-Based Interactive Reading Application for Language Learning. ISCIS (2004)