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We propose THOR a novel method to extract information from text, that unlike related approaches, neither relies on complex rules nor models trained with large annotated corpus. Instead, THOR is lightweight and exploits integrated data and its schema without the need for human annotations.

We propose TokenJoin, a method for linking complex records, i.e., identifying similar pairs among a collection of complex records. A complex record is a set of simpler text entities, such as a set of addresses.