Industry Scale Semi-Supervised Learning for Natural Language Understanding

no code implementations • NAACL 2021 • Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu

This paper presents a production Semi-Supervised Learning (SSL) pipeline based on the student-teacher framework, which leverages millions of unlabeled examples to improve Natural Language Understanding (NLU) tasks.

intent-classification Intent Classification +6

A Manifold Approach to Learning Mutually Orthogonal Subspaces

no code implementations • 8 Mar 2017 • Stephen Giguere, Francisco Garcia, Sridhar Mahadevan

Although many machine learning algorithms involve learning subspaces with particular characteristics, optimizing a parameter matrix that is constrained to represent a subspace can be challenging.

Domain Adaptation Riemannian optimization