Machamp: A Generalized Entity Matching Benchmark
Entity Matching (EM) refers to the problem of determining whether two different data representations refer to the same real-world entity. It has been a long-standing interest of the data management community and many efforts have been paid in creating benchmark tasks as well as in developing advanced matching techniques. However, existing benchmark tasks for EM […]
Addressing Overchoice: Automatically Generating Meaningful Filters from Hotel Reviews
Deep Entity Matching with Pre-Trained Language Models
Data Augmentation for ML-driven Data Preparation and Integration
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews
Towards integrated, interactive, and extensible text data analytics with LEAM
From tweets to product reviews, text is ubiquitous on the web and often contains valuable information for both enterprises and consumers. However, the online text is generally noisy and incomplete, requiring users to process and analyze the data to extract insights. While there are systems effective for different stages of text analysis, users lack extensible […]