RNN for Spoken Language Understanding
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Updated
Jul 12, 2017 - Python
RNN for Spoken Language Understanding
Spoken Language Understanding(SLU)/Slot Filling(语义槽填充) in PyTorch
Memory consolidation for Contextual SLU with Multi-task Framework
槽填充、意图预测(口语理解)论文整理和中文翻译。Slot filling and intent prediction paper collation and Chinese translation.
🦁 BERT for Spoken Language Understanding in Task-based Dialog
Official repository of the SUGAR Task at Evalita 2018
Data Augmentation with Atomic Templates for Spoken Language Understanding
Source code for ASRU 2019 paper "Adapting Pretrained Transformer to Lattices for Spoken Language Understanding"
EMNLP-2020: Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
A TensorFlow implement for "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
Semi-supervised spoken language understanding (SLU) via self-supervised speech and language model pretraining
Source code and data for the journal ``Dual learning for semi-supervised natural language understanding" in TASLP 2020.
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
Code for the paper "Textual supervision for visually grounded spoken language understanding".
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"
ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET
cross-domain slot filling task with BERT
Library for training visually-grounded models of spoken language understanding.
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