Workday, Inc.
Fast entity linking in noisy text environments

Last updated:

Abstract:

A system for disambiguation of noisy text includes an interface and processor. The interface is configured to receive a set of words. The processor is configured to determine a token from the set of words, wherein the token includes a subset of the set of words; determine candidates for the token; determine a ranking for the candidates based at least in part on a semantic similarity between the token and each of the candidates; determine whether to select a top ranked candidate or to abstain; and in response to a select determination to select the top ranked candidate, indicate the top ranked candidate is selected.

Status:
Grant
Type:

Utility

Filling date:

24 May 2018

Issue date:

4 Aug 2020