The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 06, 2020
Filed:
Jun. 22, 2020
Clinc, Inc., Ann Arbor, MI (US);
Andrew Lee, Ann Arbor, MI (US);
Stefan Larson, Ann Arbor, MI (US);
Christopher Clarke, Ann Arbor, MI (US);
Kevin Leach, Ann Arbor, MI (US);
Jonathan K. Kummerfeld, Ann Arbor, MI (US);
Parker Hill, Ann Arbor, MI (US);
Johann Hauswald, Ann Arbor, MI (US);
Michael A. Laurenzano, Ann Arbor, MI (US);
Lingjia Tang, Ann Arbor, MI (US);
Jason Mars, Ann Arbor, MI (US);
Clinc, Inc., Ann Arbor, MI (US);
Abstract
Systems and methods for constructing an artificially diverse corpus of training data includes evaluating a corpus of utterance-based training data samples, identifying a slot replacement candidate; deriving distinct skeleton utterances that include the slot replacement candidate, wherein deriving the distinct skeleton utterances includes replacing slots of each of the plurality of distinct utterance training samples with one of a special token and proper slot classification labels; selecting a subset of the distinct skeleton utterances; converting each of the distinct skeleton utterances of the subset back to distinct utterance training samples while still maintaining the special token at a position of the slot replacement candidate; altering a percentage of the distinct utterance training samples with a distinct randomly-generated slot token value at the position of the slot replacement candidate; and constructing the artificially diverse corpus of training samples based on a collection of the percentage of the distinct utterance training samples.