An Approach to Natural Language Processing for Document Retrieval. - W. Bruce Croft; David D. Lewis (SIGIR, 1987)

Language-oriented information retrieval. - David D. Lewis; W. Bruce Croft; Nehru Bhandaru (Int. J. Intell. Syst., 1989)

Representation Quality in Text Classification: An Introduction and Experiment. - David D. Lewis (HLT, 1990)

Term Clustering of Syntactic Phrases. - David D. Lewis; W. Bruce Croft (SIGIR, 1990)

Learning in Intelligent Information Retrieval. - David D. Lewis (ML, 1991)

Data extraction as text categorization: an experiment with the MUC-3 corpus. - David D. Lewis (MUC, 1991)

Evaluating Text Categorization I. - David D. Lewis (HLT, 1991)

The Use of Phrases and Structured Queries in Information Retrieval. - W. Bruce Croft; Howard R. Turtle; David D. Lewis (SIGIR, 1991)

Text filtering in MUC-3 and MUC-4. - David D. Lewis; Richard M. Tong (MUC, 1992)

Feature Selection and Feature Extract ion for Text Categorization. - David D. Lewis (HLT, 1992)

An Evaluation of Phrasal and Clustered Representations on a Text Categorization Task. - David D. Lewis (SIGIR, 1992)

Use of Natural Language Processing at TREC. - David D. Lewis; Alan F. Smeaton (TREC, 1992)

Evaluating Message Understanding Systems: An Analysis of the Third Message Understanding Conference (MUC-3). - Nancy Chinchor; Lynette Hirschman; David D. Lewis (Comput. Linguistics, 1993)

Fax: An Alternative to SGML. - Kenneth Ward Church; William A. Gale; Jonathan Helfman; David D. Lewis (COLING, 1994)

Heterogeneous Uncertainty Sampling for Supervised Learning. - David D. Lewis; Jason Catlett (ICML, 1994)

A Sequential Algorithm for Training Text Classifiers. - David D. Lewis; William A. Gale (SIGIR, 1994)

TREC-3 Ad-Hoc, Routing Retrieval and Thresholding Experiments using PIRCS. - K. L. Kwok; Laszlo Grunfeld; David D. Lewis (TREC, 1994)

Guest Editorial - Special Issue on Text Categorization. - David D. Lewis; Philip J. Hayes (ACM Trans. Inf. Syst., 1994)

Evaluating and Optimizing Autonomous Text Classification Systems. - David D. Lewis (SIGIR, 1995)

The TREC-4 Filtering Track. - David D. Lewis (TREC, 1995)

Minutes - 1995 ACM SIGIR Annual Meeting. - David D. Lewis (SIGIR Forum, 1995)

A Sequential Algorithm for Training Text Classifiers: Corrigendum and Additional Data. - David D. Lewis (SIGIR Forum, 1995)

Challenges in Machine Learning for Text Classification. - David D. Lewis (COLT, 1996)

Training Algorithms for Linear Text Classifiers. - David D. Lewis; Robert E. Schapire; James P. Callan; Ron Papka (SIGIR, 1996)

The TREC-5 Filtering Track. - David D. Lewis (TREC, 1996)

Natural Language Processing for Information Retrieval. - David D. Lewis; Karen Sparck Jones (Commun. ACM, 1996)

Minutes of the 1996 ACM SIGIR Business Meeting. - David D. Lewis (SIGIR Forum, 1996)

Bayesian Information Retrieval: Preliminary Evaluation. - Michelle Keim; David D. Lewis; David Madigan (AISTATS, 1997)

Threading Electronic Mail - A Preliminary Study. - David D. Lewis; K. A. Knowles (Inf. Process. Manag., 1997)

Minutes of the 1997 ACM SIGIR Business Meeting. - David D. Lewis (SIGIR Forum, 1997)

Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval. - David D. Lewis (ECML, 1998)

AT&T at TREC-7. - Amit Singhal 001; John Choi; Donald Hindle; David D. Lewis; Fernando C. N. Pereira (TREC, 1998)

ATTICS: A Software Platform for Online Text Classification (poster abstract). - David D. Lewis; Daniel L. Stern; Amit Singhal 001 (SIGIR, 1999)

Approximating Matrix Multiplication for Pattern Recognition Tasks. - Edith Cohen; David D. Lewis (J. Algorithms, 1999)

Boosting for Document Routing. - Raj D. Iyer; David D. Lewis; Robert E. Schapire; Yoram Singer; Amit Singhal 001 (CIKM, 2000)

Applying Support Vector Machines to the TREC-2001 Batch Filtering and Routing Tasks. - David D. Lewis (TREC, 2001)

Report on the Workshop on Operational Text Classification systems (OTC-01). - David D. Lewis; Fabrizio Sebastiani 001 (SIGIR Forum, 2001)

Rutgers Filtering Work at TREC 2002: Adaptive and Batch. - Andrei Anghelescu; Endre Boros; David D. Lewis; Vladimir Menkov; David J. Neu; Paul B. Kantor (TREC, 2002)

Report on the workshop on Operational Text Classification Systems (OTC-02). - Susan T. Dumais; David D. Lewis; Fabrizio Sebastiani 001 (SIGIR Forum, 2002)

On the Naive Bayes Model for Text Categorization. - Susana Eyheramendy; David D. Lewis; David Madigan (AISTATS, 2003)

Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002. - James Allan; Jay Aslam; Nicholas J. Belkin; Chris Buckley; James P. Callan; W. Bruce Croft; Susan T. Dumais; Norbert Fuhr; Donna Harman; David J. Harper; Djoerd Hiemstra; Thomas Hofmann 001; et al. (SIGIR Forum, 2003)

DIMACS at the TREC 2004 Genomics Track. - Aynur A. Dayanik; Dmitriy Fradkin; Alexander Genkin; Paul B. Kantor; David Madigan; David D. Lewis; Vladimir Menkov (TREC, 2004)

RCV1: A New Benchmark Collection for Text Categorization Research. - David D. Lewis; Yiming Yang; Tony G. Rose; Fan Li (J. Mach. Learn. Res., 2004)

Improving Automatic Query Classification via Semi-Supervised Learning. - Steven M. Beitzel; Eric C. Jensen; Ophir Frieder; David D. Lewis; Abdur Chowdhury; Aleksander Kolcz (ICDM, 2005)

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 (SIGIR, 2005)

DIMACS at the TREC 2005 Genomics Track. - Aynur A. Dayanik; Alexander Genkin; Paul B. Kantor; David D. Lewis; David Madigan (TREC, 2005)

Complex document information processing: prototype, test collection, and evaluation. - Gady Agam; Shlomo Argamon; Ophir Frieder; David A. Grossman; David D. Lewis (DRR, 2006)

A complex document information processing prototype. - Shlomo Argamon; Gady Agam; Ophir Frieder; David A. Grossman; David D. Lewis; Gene Sohn; Ellen M. Voorhees (SIGIR, 2006)

Constructing informative prior distributions from domain knowledge in text classification. - Aynur A. Dayanik; David D. Lewis; David Madigan; Vladimir Menkov; Alexander Genkin (SIGIR, 2006)

Building a test collection for complex document information processing. - David D. Lewis; Gady Agam; Shlomo Argamon; Ophir Frieder; David A. Grossman; Jefferson Heard (SIGIR, 2006)

TREC 2006 Legal Track Overview. - Jason R. Baron; David D. Lewis; Douglas W. Oard (TREC, 2006)

Content-based document image retrieval in complex document collections. - Shlomo Argamon; Ophir Frieder; David A. Grossman; David D. Lewis (DRR, 2007)

Large-Scale Bayesian Logistic Regression for Text Categorization. - Alexander Genkin; David D. Lewis; David Madigan (Technometrics, 2007)

Automatic classification of Web queries using very large unlabeled query logs. - Steven M. Beitzel; Eric C. Jensen; David D. Lewis; Abdur Chowdhury; Ophir Frieder (ACM Trans. Inf. Syst., 2007)

Information retrieval for e-discovery. - David D. Lewis (SIGIR, 2010)

Afterword: data, knowledge, and e-discovery. - David D. Lewis (Artif. Intell. Law, 2010)

Evaluation of information retrieval for E-discovery. - Douglas W. Oard; Jason R. Baron; Bruce Hedin; David D. Lewis; Stephen Tomlinson (Artif. Intell. Law, 2010)

A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. - Trevor J. M. Bench-Capon; Michal Araszkiewicz; Kevin D. Ashley; Katie Atkinson; Floris Bex; Filipe Borges; Danièle Bourcier; Paul Bourgine; Jack G. Conrad; Enrico Francesconi; Thomas F. Gordon; Guido Governatori; et al. (Artif. Intell. Law, 2012)

Towards minimizing the annotation cost of certified text classification. - Mossaab Bagdouri; William Webber; David D. Lewis; Douglas W. Oard (CIKM, 2013)

Sequential testing in classifier evaluation yields biased estimates of effectiveness. - William Webber; Mossaab Bagdouri; David D. Lewis; Douglas W. Oard (SIGIR, 2013)

Retrieval and Richness when Querying by Document. - Eugene Yang; David D. Lewis; Ophir Frieder; David A. Grossman; Roman Yurchak (DESIRES, 2018)

A Regularization Approach to Combining Keywords and Training Data in Technology-Assisted Review. - Eugene Yang; David D. Lewis; Ophir Frieder (ICAIL, 2019)

Text Retrieval Priors for Bayesian Logistic Regression. - Eugene Yang; David D. Lewis; Ophir Frieder (SIGIR, 2019)

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. - Alexandra Olteanu; Jean Garcia-Gathright; Maarten de Rijke; Michael D. Ekstrand; Adam Roegiest; Aldo Lipani; Alex Beutel; Ana Lucic; Ana-Andreea Stoica; Anubrata Das 001; Asia Biega; Bart Voorn; et al. (SIGIR Forum, 2019)

Certifying One-Phase Technology-Assisted Reviews. - David D. Lewis; Eugene Yang; Ophir Frieder (CIKM, 2021)

TAR on Social Media: A Framework for Online Content Moderation. - Eugene Yang; David D. Lewis; Ophir Frieder (DESIRES, 2021)

On minimizing cost in legal document review workflows. - Eugene Yang; David D. Lewis; Ophir Frieder (DocEng, 2021)

Heuristic stopping rules for technology-assisted review. - Eugene Yang; David D. Lewis; Ophir Frieder (DocEng, 2021)

Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. - Eugene Yang; Sean MacAvaney; David D. Lewis; Ophir Frieder (ECIR (1), 2022)

ECIR 2022 Tutorial: Technology-Assisted Review for High Recall Retrieval. - Eugene Yang; Jeremy Pickens; David D. Lewis (ECIR (2), 2022)

TARexp: A Python Framework for Technology-Assisted Review Experiments. - Eugene Yang; David D. Lewis (SIGIR, 2022)

Confidence Sequences for Evaluating One-Phase Technology-Assisted Review. - David D. Lewis; Lenora Gray; Mark Noel (ICAIL, 2023)

Beyond the Bar: Generative AI as a Transformative Component in Legal Document Review. - Eugene Yang; Roshanak Omrani; Evan Curtin; Tara Emory; Lenora Gray; Jeremy Pickens; Nathan Reff; Cristin Traylor; Sean Underwood; David D. Lewis; Aron J. Ahmadia (IEEE Big Data, 2024)

High Recall Retrieval Via Technology-Assisted Review. - Lenora Gray; David D. Lewis; Jeremy Pickens; Eugene Yang (SIGIR, 2024)