diff --git a/english/intent_detection_slot_filling.md b/english/intent_detection_slot_filling.md
index b2b9ed4b..441105b7 100644
--- a/english/intent_detection_slot_filling.md
+++ b/english/intent_detection_slot_filling.md
@@ -18,6 +18,8 @@ ATIS (Air Travel Information System) (Hemphill et al.) is a dataset by Microsoft
 | Model | Slot F1 Score | Intent Accuracy | Paper / Source | Code |
 | ------ | ------ | ------ | ------ | ------ |
 | Bi-model with decoder | 96.89 | 98.99  | [A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling](https://arxiv.org/abs/1812.10235) |
+| Stack-Propagation + BERT | 96.10 | 97.50 | [A Stack-Propagation Framework with Token-level Intent Detection for Spoken Language Understanding](https://arxiv.org/abs/1909.02188)|[Official](https://github.com/LeePleased/StackPropagation-SLU)|
+| Stack-Propagation | 95.90 | 96.90 | [A Stack-Propagation Framework with Token-level Intent Detection for Spoken Language Understanding](https://arxiv.org/abs/1909.02188)|[Official](https://github.com/LeePleased/StackPropagation-SLU)|
 | Attention Encoder-Decoder NN | 95.87 | 98.43 | [Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling](https://arxiv.org/abs/1609.01454)|
 | SF-ID (BLSTM) network | 95.80 | 97.76 | [A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling](https://arxiv.org/abs/1907.00390) | [Official](https://github.com/ZephyrChenzf/SF-ID-Network-For-NLU) |
 | Capsule-NLU | 95.20 | 95.00 | [Joint Slot Filling and Intent Detection via Capsule Neural Networks](https://arxiv.org/abs/1812.09471) | [Official](https://github.com/czhang99/Capsule-NLU) |
@@ -37,6 +39,8 @@ SNIPS is a dataset by Snips.ai for Intent Detection and Slot Filling benchmarkin
 
 | Model | Slot F1 Score | Intent Accuracy | Paper / Source | Code |
 | ------ | ------ | ------ | ------ | ------ |
+| Stack-Propagation + BERT | 97.00 | 99.00 | [A Stack-Propagation Framework with Token-level Intent Detection for Spoken Language Understanding](https://arxiv.org/abs/1909.02188)|[Official](https://github.com/LeePleased/StackPropagation-SLU)|
+| Stack-Propagation | 94.20 | 98.00 | [A Stack-Propagation Framework with Token-level Intent Detection for Spoken Language Understanding](https://arxiv.org/abs/1909.02188)|[Official](https://github.com/LeePleased/StackPropagation-SLU)|
 | SF-ID (BLSTM) network | 92.23 | 97.43 | [A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling](https://arxiv.org/abs/1907.00390) | [Official](https://github.com/ZephyrChenzf/SF-ID-Network-For-NLU) |
 | Capsule-NLU | 91.80 | 97.70 | [Joint Slot Filling and Intent Detection via Capsule Neural Networks](https://arxiv.org/abs/1812.09471) | [Official](https://github.com/czhang99/Capsule-NLU) |
 | Slot-Gated BLSTM with Attension | 88.80 | 97.00 | [Slot-Gated Modeling for Joint Slot Filling and Intent Prediction](https://www.csie.ntu.edu.tw/~yvchen/doc/NAACL18_SlotGated.pdf)| [Official](https://github.com/MiuLab/SlotGated-SLU) |