BriQ

Bridging Quantities in Tables and Text.

We present the BriQ system that targets quantity alignment problem: bidirectional linking between textual mentions of quantities and the corresponding table cells, in order to support advanced content summarization and faster navigation between explanations in text and details in tables.

BriQ is designed to cope with the specific challenges of approximate quantities, aggregated quantities, and calculated quantities in text that are common but cannot be directly matched in table cells. We judiciously combine feature-based classification with joint inference by random walks over candidate alignment graphs. Experiments with a large collection of tables from the Common Crawl project demonstrate the viability of our methods.