14 citations · 14 across the 1 of their papers we have counts for
3 papers · 1 filter
Exploring Transfer Learning For End-to-End Spoken Language Understanding
Subendhu Rongali, Beiye Liu, Liwei Cai +3
Voice Assistants such as Alexa, Siri, and Google Assistant typically use a two-stage Spoken Language Understanding pipeline; first, an Automatic Speech Recognition (ASR) component…
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses
Mingda Li, Weitong Ruan, Xinyue Liu +3
In a modern spoken language understanding (SLU) system, the natural language understanding (NLU) module takes interpretations of a speech from the automatic speech recognition (ASR…
A Re-ranker Scheme for Integrating Large Scale NLU models
Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan +1
Large scale Natural Language Understanding (NLU) systems are typically trained on large quantities of data, requiring a fast and scalable training strategy. A typical design for NL…