Chinese Spoken Language Understanding, a sequence-labeling task based on RNN/LSTM/GRU and Transformer.
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Updated
Sep 2, 2022 - Python
Chinese Spoken Language Understanding, a sequence-labeling task based on RNN/LSTM/GRU and Transformer.
EMNLP-2020: Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
Intent Classification using the Fluent Speech Commands Dataset
Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language Understanding
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
On-device Speech-to-Intent engine powered by deep learning
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
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