David D. Lewis

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 19

Top Topics

Bayesian Logistic Regression

Information Retrieval

Top Venues

Publications

Lenora Gray, David D. Lewis, Jeremy Pickens, Eugene Yang
High Recall Retrieval Via Technology-Assisted Review. SIGIR (2024)
David D. Lewis, Lenora Gray, Mark Noel
Confidence Sequences for Evaluating One-Phase Technology-Assisted Review. ICAIL (2023)
Eugene Yang, Sean MacAvaney, David D. Lewis, Ophir Frieder
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. ECIR (1) (2022)
Eugene Yang, David D. Lewis
TARexp: A Python Framework for Technology-Assisted Review Experiments. CoRR (2022)
Eugene Yang, Jeremy Pickens, David D. Lewis
ECIR 2022 Tutorial: Technology-Assisted Review for High Recall Retrieval. ECIR (2) (2022)
Eugene Yang, David D. Lewis
TARexp: A Python Framework for Technology-Assisted Review Experiments. SIGIR (2022)
Eugene Yang, David D. Lewis, Ophir Frieder
Heuristic Stopping Rules For Technology-Assisted Review. CoRR (2021)
Eugene Yang, Sean MacAvaney, David D. Lewis, Ophir Frieder
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. CoRR (2021)
David D. Lewis, Eugene Yang, Ophir Frieder
Certifying One-Phase Technology-Assisted Reviews. CoRR (2021)
Eugene Yang, David D. Lewis, Ophir Frieder
On minimizing cost in legal document review workflows. DocEng (2021)
Eugene Yang, David D. Lewis, Ophir Frieder
On Minimizing Cost in Legal Document Review Workflows. CoRR (2021)
Eugene Yang, David D. Lewis, Ophir Frieder
Heuristic stopping rules for technology-assisted review. DocEng (2021)
David D. Lewis, Eugene Yang, Ophir Frieder
Certifying One-Phase Technology-Assisted Reviews. CIKM (2021)
Eugene Yang, David D. Lewis, Ophir Frieder
TAR on Social Media: A Framework for Online Content Moderation. DESIRES (2021)
Eugene Yang, David D. Lewis, Ophir Frieder
TAR on Social Media: A Framework for Online Content Moderation. CoRR (2021)
Eugene Yang, David D. Lewis, Ophir Frieder
Text Retrieval Priors for Bayesian Logistic Regression. SIGIR (2019)
Eugene Yang, David D. Lewis, Ophir Frieder
A Regularization Approach to Combining Keywords and Training Data in Technology-Assisted Review. ICAIL (2019)
Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53 (2) (2019)
Eugene Yang, David D. Lewis, Ophir Frieder, David A. Grossman, Roman Yurchak
Retrieval and Richness when Querying by Document. DESIRES (2018)
William Webber, Mossaab Bagdouri, David D. Lewis, Douglas W. Oard
Sequential testing in classifier evaluation yields biased estimates of effectiveness. SIGIR (2013)
Mossaab Bagdouri, William Webber, David D. Lewis, Douglas W. Oard
Towards minimizing the annotation cost of certified text classification. CIKM (2013)
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, Jochen L. Leidner, David D. Lewis, Ronald Prescott Loui, L. Thorne McCarty, Henry Prakken, Frank Schilder, Erich Schweighofer, Paul Thompson, Alex Tyrrell, Bart Verheij, Douglas N. Walton, Adam Z. Wyner
A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. Artif. Intell. Law 20 (3) (2012)
Douglas W. Oard, Jason R. Baron, Bruce Hedin, David D. Lewis, Stephen Tomlinson
Evaluation of information retrieval for E-discovery. Artif. Intell. Law 18 (4) (2010)
David D. Lewis
Afterword: data, knowledge, and e-discovery. Artif. Intell. Law 18 (4) (2010)
David D. Lewis
Information retrieval for e-discovery. SIGIR (2010)
Steven M. Beitzel, Eric C. Jensen, David D. Lewis, Abdur Chowdhury, Ophir Frieder
Automatic classification of Web queries using very large unlabeled query logs. ACM Trans. Inf. Syst. 25 (2) (2007)
Alexander Genkin, David D. Lewis, David Madigan
Large-Scale Bayesian Logistic Regression for Text Categorization. Technometrics 49 (3) (2007)
Shlomo Argamon, Ophir Frieder, David A. Grossman, David D. Lewis
Content-based document image retrieval in complex document collections. DRR (2007)
Shlomo Argamon, Gady Agam, Ophir Frieder, David A. Grossman, David D. Lewis, G. Sohn, Ellen M. Voorhees
A complex document information processing prototype. SIGIR (2006)
Aynur A. Dayanik, David D. Lewis, David Madigan, Vladimir Menkov, Alexander Genkin
Constructing informative prior distributions from domain knowledge in text classification. SIGIR (2006)
David D. Lewis, Gady Agam, Shlomo Argamon, Ophir Frieder, David A. Grossman, Jefferson Heard
Building a test collection for complex document information processing. SIGIR (2006)
Jason R. Baron, David D. Lewis, Douglas W. Oard
TREC 2006 Legal Track Overview. TREC (2006)
Gady Agam, Shlomo Argamon, Ophir Frieder, David A. Grossman, David D. Lewis
Complex document information processing: prototype, test collection, and evaluation. DRR (2006)
Aynur A. Dayanik, Alexander Genkin, Paul B. Kantor, David D. Lewis, David Madigan
DIMACS at the TREC 2005 Genomics Track. TREC (2005)
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, David D. Lewis, Abdur Chowdhury, Aleksander Kolcz
Improving Automatic Query Classification via Semi-Supervised Learning. ICDM (2005)
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, David A. Grossman, David D. Lewis, Abdur Chowdhury, Aleksander Kolcz
Automatic web query classification using labeled and unlabeled training data. SIGIR (2005)
Aynur A. Dayanik, Dmitriy Fradkin, Alexander Genkin, Paul B. Kantor, David Madigan, David D. Lewis, Vladimir Menkov
DIMACS at the TREC 2004 Genomics Track. TREC (2004)
David D. Lewis, Yiming Yang, Tony G. Rose, Fan Li
RCV1: A New Benchmark Collection for Text Categorization Research. J. Mach. Learn. Res. 5 (2004)
Susana Eyheramendy, David D. Lewis, David Madigan
On the Naive Bayes Model for Text Categorization. AISTATS (2003)
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, Eduard H. Hovy, Wessel Kraaij, John D. Lafferty, Victor Lavrenko, David D. Lewis, Liz Liddy, R. Manmatha, Andrew McCallum, Jay M. Ponte, John M. Prager, Dragomir R. Radev, Philip Resnik, Stephen E. Robertson, Ronald Rosenfeld, Salim Roukos, Mark Sanderson, Richard M. Schwartz, Amit Singhal, Alan F. Smeaton, Howard R. Turtle, Ellen M. Voorhees, Ralph M. Weischedel, Jinxi Xu, ChengXiang Zhai
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. SIGIR Forum 37 (1) (2003)
Andrei Anghelescu, Endre Boros, David D. Lewis, Vladimir Menkov, David J. Neu, Paul B. Kantor
Rutgers Filtering Work at TREC 2002: Adaptive and Batch. TREC (2002)
Susan T. Dumais, David D. Lewis, Fabrizio Sebastiani
Report on the workshop on Operational Text Classification Systems (OTC-02). SIGIR Forum 36 (2) (2002)
David D. Lewis
Applying Support Vector Machines to the TREC-2001 Batch Filtering and Routing Tasks. TREC (2001)
David D. Lewis, Fabrizio Sebastiani
Report on the Workshop on Operational Text Classification systems (OTC-01). SIGIR Forum 35 (2) (2001)
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal
Boosting for Document Routing. CIKM (2000)
David D. Lewis, Daniel L. Stern, Amit Singhal
ATTICS: A Software Platform for Online Text Classification (poster abstract). SIGIR (1999)
Edith Cohen, David D. Lewis
Approximating Matrix Multiplication for Pattern Recognition Tasks. J. Algorithms 30 (2) (1999)
David D. Lewis
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval. ECML (1998)
Amit Singhal, John Choi, Donald Hindle, David D. Lewis, Fernando C. N. Pereira
AT&T at TREC-7. TREC (1998)
David D. Lewis
Minutes of the 1997 ACM SIGIR Business Meeting. SIGIR Forum 31 (2) (1997)
Michelle Keim, David D. Lewis, David Madigan
Bayesian Information Retrieval: Preliminary Evaluation. AISTATS (1997)
David D. Lewis, K. A. Knowles
Threading Electronic Mail - A Preliminary Study. Inf. Process. Manag. 33 (2) (1997)
Edith Cohen, David D. Lewis
Approximating Matrix Multiplication for Pattern Recognition Tasks. SODA (1997)
David D. Lewis, Karen Sparck Jones
Natural Language Processing for Information Retrieval. Commun. ACM 39 (1) (1996)
David D. Lewis
The TREC-5 Filtering Track. TREC (1996)
David D. Lewis
Challenges in Machine Learning for Text Classification. COLT (1996)
David D. Lewis
Minutes of the 1996 ACM SIGIR Business Meeting. SIGIR Forum 30 (2) (1996)
David D. Lewis, Robert E. Schapire, James P. Callan, Ron Papka
Training Algorithms for Linear Text Classifiers. SIGIR (1996)
David D. Lewis
Evaluating and Optimizing Autonomous Text Classification Systems. SIGIR (1995)
David D. Lewis
A Sequential Algorithm for Training Text Classifiers: Corrigendum and Additional Data. SIGIR Forum 29 (2) (1995)
David D. Lewis
The TREC-4 Filtering Track. TREC (1995)
David D. Lewis
Minutes - 1995 ACM SIGIR Annual Meeting. SIGIR Forum 29 (2) (1995)
David D. Lewis, William A. Gale
A Sequential Algorithm for Training Text Classifiers. SIGIR (1994)
Kenneth Ward Church, William A. Gale, Jonathan Helfman, David D. Lewis
Fax: An Alternative to SGML. COLING (1994)
David D. Lewis, Philip J. Hayes
Guest Editorial - Special Issue on Text Categorization. ACM Trans. Inf. Syst. 12 (3) (1994)
K. L. Kwok, Laszlo Grunfeld, David D. Lewis
TREC-3 Ad-Hoc, Routing Retrieval and Thresholding Experiments using PIRCS. TREC (1994)
David D. Lewis, Jason Catlett
Heterogeneous Uncertainty Sampling for Supervised Learning. ICML (1994)
David D. Lewis, William A. Gale
A Sequential Algorithm for Training Text Classifiers. CoRR (1994)
Nancy Chinchor, Lynette Hirschman, David D. Lewis
Evaluating Message Understanding Systems: An Analysis of the Third Message Understanding Conference (MUC-3). Comput. Linguistics 19 (3) (1993)
David D. Lewis, Alan F. Smeaton
Use of Natural Language Processing at TREC. TREC (1992)
David D. Lewis, Richard M. Tong
Text filtering in MUC-3 and MUC-4. MUC (1992)
David D. Lewis
An Evaluation of Phrasal and Clustered Representations on a Text Categorization Task. SIGIR (1992)
David D. Lewis
Feature Selection and Feature Extract ion for Text Categorization. HLT (1992)
David D. Lewis
Data extraction as text categorization: an experiment with the MUC-3 corpus. MUC (1991)
David D. Lewis
Learning in Intelligent Information Retrieval. ML (1991)
W. Bruce Croft, Howard R. Turtle, David D. Lewis
The Use of Phrases and Structured Queries in Information Retrieval. SIGIR (1991)
David D. Lewis
Evaluating Text Categorization I. HLT (1991)
David D. Lewis
Representation Quality in Text Classification: An Introduction and Experiment. HLT (1990)
David D. Lewis, W. Bruce Croft
Term Clustering of Syntactic Phrases. SIGIR (1990)
David D. Lewis, W. Bruce Croft, Nehru Bhandaru
Language-oriented information retrieval. Int. J. Intell. Syst. 4 (3) (1989)
W. Bruce Croft, David D. Lewis
An Approach to Natural Language Processing for Document Retrieval. SIGIR (1987)