Disambiguating web tables using partial data
Ziqi Zhang · 2014
Abstract. This work addresses disambiguating Web tables- annotating content cells with named entities and table columns with semantic type information. Con-trary to state-of-the-art that builds features based on the entire table content, this work uses a method that starts by annotating table columns using automatically selected partial data (i.e., a sample), then using the type information to guide content cell disambiguation. Different sample selection methods are introduced and tested to show that they contribute to higher accuracy in cell disambiguation, comparable accuracy in column type annotation with reduced computation. 1