Papers

DeepDive System Overview

• Best Reference: DeepDive: A Data Management System for Automatic Knowledge Base Construction. Ce Zhang.Ph.D. Dissertation, University of Wisconsin-Madison, 2015.

Applications

• Best Reference: Machine-compiled Macroevolutionary History of Phanerozoic Life. Shanan E. Peters, Ce Zhang, Miron Livny, and C. Ré. PloS ONE.

• The Mobilize Center: an NIH big data to knowledge center to advance human movement research and improve mobility. Joy P Ku, Jennifer L Hicks, Trevor Hastie, Jure Leskovec, C. Ré, and Scott L Delp. AMIA, 2015.

• Large-scale extraction of gene interactions from full text literature using DeepDive. Emily Mallory, Ce Zhang, C. Ré, and Russ Altman. Bioinformatics 2015.

• A Demonstration of Data Labeling in Knowledge Base Construction. Jaeho Shin, Mike Cafarella, and C. Ré. VLDB Demo, 2015.

• Elementary: Large-scale Knowledge-base Construction via Machine Learning and Statistical Inference. F. Niu, Ce Zhang, C. Ré, and J. Shavlik. IJSWIS, Special Issue on Knowledge Extraction from the Web, 2012.

• Stanford’s 2014 Slot Filling Systems. Gabor Angeli, Sonal Gupta, Melvin Jose, Christopher D. Manning, Christopher Ré, Julie Tibshirani, Jean Y. Wu, Sen Wu, Ce Zhang.

• Using Social Media to Measure Labor Market Flow. D. Antenucci, M. Cafarella, M. Levenstein, C. Ré, and M. Shapiro. NBER. Selected for NBER Digest.

• Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System P. Konda, A. Kumar, C. Ré, and V. Sashikanth. VLDB Demo 2013

• GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages. Ce Zhang, V. Govindaraju, J. Borchardt, T. Foltz, C. Ré, and S. Peters. SIGMOD 13 (demo).

• Hazy: Making it Easier to Build and Maintain Big-data Analytics. Arun Kumar, Feng Niu, and C. Ré ACM Queue, 2013. Invited to CACM March 2013

• Building an Entity-Centric Stream Filtering Test Collection for TREC 2102. J.R. Frank, M.Kleiman-Weiner, D. A. Roberts, F.Niu, Ce Zhang, C. Ré, and I. Soboroff. TREC 2013

Feature Engineering

• Best Reference: Feature Engineering for Knowledge Base Construction. DeepDive Group. Data Engineering Bulletin.
• Brainwash: A Data System for Feature Engineering. M. Anderson et al. CIDR Conference 2013 (Vision Track)
• Materialization Optimizations for Feature Selection. Ce Zhang, Arun Kumar, and C. Ré. SIGMOD 2014. Best Paper Award.
• Parallel Feature Selection Inspired by Group Testing. Y. Zhou et al. NIPS2014.

The Underlying Engine

• Best Overall Description: Incremental Knowledge Base Construction Using DeepDive Sen Wu, Ce Zhang, Christopher De Sa, Jaeho Shin, Feiran Wang, and C. Ré. VLDB. 2015.

• Best Reference for Sampler: DimmWitted: A Study of Main-Memory Statistical Analytics. Ce Zhang and C. Ré. VLDB 2014.

• Best Reference for Grounding: Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS. F. Niu, C. Ré, A.Doan, and J.W. Shavlik. PVLDB 11.

• Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width. Christopher De Sa, Ce Zhang, Kunle Olukotun, and C. Ré. NIPS 2015 (Spotlight).

• Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms. Christopher De Sa, Ce Zhang, Kunle Olukotun, and C. Ré. NIPS 2015.

• Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers. Ce Zhang and C. Ré. SIGMOD 2013

• An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. J. Liu, S. Wright, C. Ré, V. Bittorf, S. Sridhar. ICML 2014.

• Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. F. Niu, B. Recht, C. Ré, and S. J. Wright. NIPS, 2011

• Felix: Scaling Inference for Markov Logic with an Operator-based Approach. Feng Niu, Ce Zhang, C. Ré, and Jude Shavlik.

Some Related Techniques

• Understanding Tables in Context Using Standard NLP Toolkits. Vidhya Govindaraju, Ce Zhang, and C. Ré. ACL 2013
• Probabilistic Management of OCR using an RDBMS. Arun Kumar and C. Ré. PVLDB 2012.
• Optimizing Statistical Information Extraction Programs Over Evolving Text. Fei Chen, Xixuan Feng, C. Ré, and Min Wang. ICDE
• Incrementally maintaining classification using an RDBMS. Mehmet Levent Koc and C. Ré. PVLDB Volume 4, 2011, p. 302-313

Studies

• Big Data versus the Crowd: Looking for Relationships in All the Right Places. Ce Zhang, Feng Niu, C. Ré, and Jude Shavlik. ACL, 2012.

Formal Foundations

• Probabilistic Databases. Dan Suciu, Dan Olteanu, C. Ré, and Christoph Koch. Morgan Claypool's Synthesis Lectures, 2011
• Transducing Markov Sequences. Benny Kimelfeld and C. Ré. JACM 2014.
• Queries and materialized views on probabilistic databases. Nilesh N. Dalvi, C. Re, and Dan Suciu. JCSS 2011.