| 2026 | CHIIR | Supporting Humans in Evaluating AI Summaries of Legal Depositions. | Naghmeh Farzi, Laura Dietz, David D. Lewis |
| 2024 | SIGIR | High Recall Retrieval Via Technology-Assisted Review. | Lenora Gray, David D. Lewis, Jeremy Pickens, Eugene Yang |
| 2023 | ICAIL | Confidence Sequences for Evaluating One-Phase Technology-Assisted Review. | David D. Lewis, Lenora Gray, Mark Noel |
| 2022 | ECIR | Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. | Eugene Yang, Sean MacAvaney, David D. Lewis, Ophir Frieder |
| 2022 | ECIR | ECIR 2022 Tutorial: Technology-Assisted Review for High Recall Retrieval. | Eugene Yang, Jeremy Pickens, David D. Lewis |
| 2022 | SIGIR | TARexp: A Python Framework for Technology-Assisted Review Experiments. | Eugene Yang, David D. Lewis |
| 2021 | CIKM | Certifying One-Phase Technology-Assisted Reviews. | David D. Lewis, Eugene Yang, Ophir Frieder |
| 2021 | DocEng | On minimizing cost in legal document review workflows. | Eugene Yang, David D. Lewis, Ophir Frieder |
| 2021 | DocEng | Heuristic stopping rules for technology-assisted review. | Eugene Yang, David D. Lewis, Ophir Frieder |
| 2019 | ICAIL | A Regularization Approach to Combining Keywords and Training Data in Technology-Assisted Review. | Eugene Yang, David D. Lewis, Ophir Frieder |
| 2019 | SIGIR | Text Retrieval Priors for Bayesian Logistic Regression. | Eugene Yang, David D. Lewis, Ophir Frieder |
| 2013 | CIKM | Towards minimizing the annotation cost of certified text classification. | Mossaab Bagdouri, William Webber, David D. Lewis, Douglas W. Oard |
| 2013 | SIGIR | Sequential testing in classifier evaluation yields biased estimates of effectiveness. | William Webber, Mossaab Bagdouri, David D. Lewis, Douglas W. Oard |
| 2010 | SIGIR | Information retrieval for e-discovery. | David D. Lewis |
| 2006 | SIGIR | A complex document information processing prototype. | Shlomo Argamon, Gady Agam, Ophir Frieder, David A. Grossman, David D. Lewis, Gene Sohn, Ellen M. Voorhees |
| 2006 | SIGIR | Constructing informative prior distributions from domain knowledge in text classification. | Aynur A. Dayanik, David D. Lewis, David Madigan, Vladimir Menkov, Alexander Genkin |
| 2006 | SIGIR | Building a test collection for complex document information processing. | David D. Lewis, Gady Agam, Shlomo Argamon, Ophir Frieder, David A. Grossman, Jefferson Heard |
| 2005 | ICDM | Improving Automatic Query Classification via Semi-Supervised Learning. | Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, David D. Lewis, Abdur Chowdhury, Aleksander Kolcz |
| 2005 | SIGIR | Automatic web query classification using labeled and unlabeled training data. | Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, David A. Grossman, David D. Lewis, Abdur Chowdhury, Aleksander Kolcz |
| 2003 | AISTATS | On the Naive Bayes Model for Text Categorization. | Susana Eyheramendy, David D. Lewis, David Madigan |
| 2000 | CIKM | Boosting for Document Routing. | Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal |
| 1999 | SIGIR | ATTICS: A Software Platform for Online Text Classification (poster abstract). | David D. Lewis, Daniel L. Stern, Amit Singhal |
| 1997 | AISTATS | Bayesian Information Retrieval: Preliminary Evaluation. | Michelle Keim, David D. Lewis, David Madigan |
| 1997 | SODA | Approximating Matrix Multiplication for Pattern Recognition Tasks. | Edith Cohen, David D. Lewis |
| 1996 | COLT | Challenges in Machine Learning for Text Classification. | David D. Lewis |
| 1996 | SIGIR | Training Algorithms for Linear Text Classifiers. | David D. Lewis, Robert E. Schapire, James P. Callan, Ron Papka |
| 1995 | SIGIR | Evaluating and Optimizing Autonomous Text Classification Systems. | David D. Lewis |
| 1994 | COLING | Fax: An Alternative to SGML. | Kenneth Ward Church, William A. Gale, Jonathan Helfman, David D. Lewis |
| 1994 | ICML | Heterogeneous Uncertainty Sampling for Supervised Learning. | David D. Lewis, Jason Catlett |
| 1994 | SIGIR | A Sequential Algorithm for Training Text Classifiers. | David D. Lewis, William A. Gale |
| 1992 | MuC | Text filtering in MUC-3 and MUC-4. | David D. Lewis, Richard M. Tong |
| 1992 | NAACL | Feature Selection and Feature Extract ion for Text Categorization. | David D. Lewis |
| 1992 | SIGIR | An Evaluation of Phrasal and Clustered Representations on a Text Categorization Task. | David D. Lewis |
| 1991 | ICML | Learning in Intelligent Information Retrieval. | David D. Lewis |
| 1991 | MuC | Data extraction as text categorization: an experiment with the MUC-3 corpus. | David D. Lewis |
| 1991 | NAACL | Evaluating Text Categorization I. | David D. Lewis |
| 1991 | SIGIR | The Use of Phrases and Structured Queries in Information Retrieval. | W. Bruce Croft, Howard R. Turtle, David D. Lewis |
| 1990 | NAACL | Representation Quality in Text Classification: An Introduction and Experiment. | David D. Lewis |
| 1990 | SIGIR | Term Clustering of Syntactic Phrases. | David D. Lewis, W. Bruce Croft |
| 1987 | SIGIR | An Approach to Natural Language Processing for Document Retrieval. | W. Bruce Croft, David D. Lewis |