Jonathan Hueser

Sharing Encoder Representations across Languages, Domains and Tasks in Large-Scale Spoken Language Understanding

Leveraging representations from pre-trained transformer-based encoders achieves state-of-the-art performance on numerous NLP tasks. Larger encoders can improve accuracy for spoken language understanding (SLU) but are challenging to use given the inference latency constraints of online systems (espec…