238 citations · 281 across the 10 of their papers we have counts for
11 papers
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
Zihui Gu, Ju Fan, Nan Tang +3
Fact verification has attracted a lot of research attention recently, e.g., in journalism, marketing, and policymaking, as misinformation and disinformation online can sway one's o…
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Nan Tang, Ju Fan, Fangyi Li +5
Can AI help automate human-easy but computer-hard data preparation tasks that burden data scientists, practitioners, and crowd workers? We answer this question by presenting RPT, a…
Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery
Raul Castro Fernandez, Nan Tang, Mourad Ouzzani +2
Many data problems are solved when the right view of a combination of datasets is identified. Finding such a view is challenging because of the many tables spread across many datab…
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries
Sibo Wang, Renchi Yang, Runhui Wang +5
Given a graph , a source node and a target node , the personalized PageRank (PPR) of with respect to is the probability that a random walk starting from termi…
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation
Ji Sun, Dong Deng, Ihab Ilyas +5
An end-to-end data integration system requires human feedback in several phases, including collecting training data for entity matching, debugging the resulting clusters, confirmin…
Deductive Optimization of Relational Data Storage
John K. Feser, Samuel Madden, Nan Tang +1
Optimizing the physical data storage and retrieval of data are two key database management problems. In this paper, we propose a language that can express a wide range of physical…
Reuse and Adaptation for Entity Resolution through Transfer Learning
Saravanan Thirumuruganathan, Shameem A Puthiya Parambath, Mourad Ouzzani +2
Entity resolution (ER) is one of the fundamental problems in data integration, where machine learning (ML) based classifiers often provide the state-of-the-art results. Considerabl…
Data Curation with Deep Learning [Vision]
Saravanan Thirumuruganathan, Nan Tang, Mourad Ouzzani +1
Data curation - the process of discovering, integrating, and cleaning data - is one of the oldest, hardest, yet inevitable data management problems. Despite decades of efforts from…
DeepER -- Deep Entity Resolution
Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq Joty +2
Entity resolution (ER) is a key data integration problem. Despite the efforts in 70+ years in all aspects of ER, there is still a high demand for democratizing ER - humans are heav…
Unsupervised String Transformation Learning for Entity Consolidation
Dong Deng, Wenbo Tao, Ziawasch Abedjan +7
Data integration has been a long-standing challenge in data management with many applications. A key step in data integration is entity consolidation. It takes a collection of clus…
On Summarizing Graph Streams
Nan Tang, Qing Chen, Prasenjit Mitra
Graph streams, which refer to the graph with edges being updated sequentially in a form of a stream, have wide applications such as cyber security, social networks and transportati…