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FIX: readme model performance
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Zilize committed Jan 3, 2021
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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -210,6 +210,7 @@ We have trained our models on the TG-Redial datasets and recorded relevant evalu
| TG-ReDial | **0.600** | **0.830** | **0.893** | **0.600** | **0.693** | **0.696** | **0.600** | **0.727** | **0.741** |



### Generation Task

| Model | BLEU@1 | BLEU@2 | BLEU@3 | BLEU@4 | Dist@1 | Dist@2 | Dist@3 | Dist@4 | Average | Extreme | Greedy | PPL |
Expand All @@ -222,6 +223,7 @@ We have trained our models on the TG-Redial datasets and recorded relevant evalu
| TG-ReDial | 0.125 | 0.0204 | 0.00354 | 0.000803 | 0.881 | 1.75 | 7.00 | 12.0 | 0.810 | 0.332 | 0.598 | **7.41** |



## Releases

| Releases | Date | Features |
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24 changes: 12 additions & 12 deletions README_CN.md
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Expand Up @@ -195,38 +195,38 @@ python run_crslab.py --config config/kgsf/redial.yaml --save_data --save_system

### 推荐任务

| 模型 | Hit@1 | Hit@10 | Hit@50 | MRR@1 | MRR@10 | MRR@50 | NDCG@1 | NDCG@10 | NDCG@50 |
| :-------: | :---------: | :--------: | :--------: | :--------: | :--------: | :--------: | :---------: | :--------: | :--------: |
| KBRD | 0.00401 | 0.0254 | 0.0588 | 0.00401 | 0.00891 | 0.0103 | 0.00401 | 0.0127 | 0.0198 |
| KGSF | 0.00535 | **0.0285** | **0.0771** | 0.00535 | 0.0114 | **0.0135** | 0.00535 | **0.0154** | **0.0259** |
| TG-ReDial | **0.00793** | 0.0251 | 0.0524 | 0.00793 | **0.0122** | 0.0134 | **0.00793** | 0.0152 | 0.0211 |
| SASRec | 0.000446 | 0.00134 | 0.0160 | 0.000446 | 0.000576 | 0.00114 | 0.000445 | 0.00075 | 0.00380 |
| TextCNN | 0.00267 | 0.0103 | 0.0236 | 0.00267 | 0.00434 | 0.00493 | 0.00267 | 0.00570 | 0.00860 |
| BERT | - | 0.00490 | 0.0281 | **0.0722** | 0.0106 | 0.0124 | 0.00490 | 0.0147 | 0.0239 |
| 模型 | Hit@1 | Hit@10 | Hit@50 | MRR@1 | MRR@10 | MRR@50 | NDCG@1 | NDCG@10 | NDCG@50 |
| :-------: | :---------: | :--------: | :--------: | :---------: | :--------: | :--------: | :---------: | :--------: | :--------: |
| SASRec | 0.000446 | 0.00134 | 0.0160 | 0.000446 | 0.000576 | 0.00114 | 0.000445 | 0.00075 | 0.00380 |
| TextCNN | 0.00267 | 0.0103 | 0.0236 | 0.00267 | 0.00434 | 0.00493 | 0.00267 | 0.00570 | 0.00860 |
| BERT | 0.00722 | 0.00490 | 0.0281 | 0.00722 | 0.0106 | 0.0124 | 0.00490 | 0.0147 | 0.0239 |
| KBRD | 0.00401 | 0.0254 | 0.0588 | 0.00401 | 0.00891 | 0.0103 | 0.00401 | 0.0127 | 0.0198 |
| KGSF | 0.00535 | **0.0285** | **0.0771** | 0.00535 | 0.0114 | **0.0135** | 0.00535 | **0.0154** | **0.0259** |
| TG-ReDial | **0.00793** | 0.0251 | 0.0524 | **0.00793** | **0.0122** | 0.0134 | **0.00793** | 0.0152 | 0.0211 |



### 策略任务

| 模型 | Hit@1 | Hit@10 | Hit@50 | MRR@1 | MRR@10 | MRR@50 | NDCG@1 | NDCG@10 | NDCG@50 |
| :--------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: |
| TG-ReDial | **0.600** | **0.830** | **0.893** | **0.600** | **0.693** | **0.696** | **0.600** | **0.727** | **0.741** |
| MGCG | 0.591 | 0.818 | 0.883 | 0.591 | 0.680 | 0.683 | 0.591 | 0.712 | 0.729 |
| Conv-BERT | 0.597 | 0.814 | 0.881 | 0.597 | 0.684 | 0.687 | 0.597 | 0.716 | 0.731 |
| Topic-BERT | 0.598 | 0.828 | 0.885 | 0.598 | 0.690 | 0.693 | 0.598 | 0.724 | 0.737 |
| TG-ReDial | **0.600** | **0.830** | **0.893** | **0.600** | **0.693** | **0.696** | **0.600** | **0.727** | **0.741** |



### 生成任务

| 模型 | BLEU@1 | BLEU@2 | BLEU@3 | BLEU@4 | Dist@1 | Dist@2 | Dist@3 | Dist@4 | Average | Extreme | Greedy | PPL |
| :---------: | :-------: | :-------: | :--------: | :--------: | :------: | :------: | :------: | :------: | :-------: | :-------: | :-------: | :------: |
| KBRD | 0.267 | 0.0458 | 0.0134 | 0.00579 | 0.469 | 1.50 | 3.40 | 4.90 | 0.863 | 0.398 | 0.710 | 52.5 |
| KGSF | **0.383** | **0.115** | **0.0444** | **0.0200** | 0.340 | 0.910 | 3.50 | 6.20 | **0.888** | **0.477** | **0.767** | 50.1 |
| TG-ReDial | 0.125 | 0.0204 | 0.00354 | 0.000803 | 0.881 | 1.75 | 7.00 | 12.0 | 0.810 | 0.332 | 0.598 | **7.41** |
| HERD | 0.120 | 0.0141 | 0.00136 | 0.000350 | 0.181 | 0.369 | 0.847 | 1.30 | 0.697 | 0.382 | 0.639 | 472 |
| Transformer | 0.266 | 0.0440 | 0.0145 | 0.00651 | 0.324 | 0.837 | 2.02 | 3.06 | 0.879 | 0.438 | 0.680 | 30.9 |
| GPT2 | 0.0858 | 0.0119 | 0.00377 | 0.0110 | **2.35** | **4.62** | **8.84** | **12.5** | 0.763 | 0.297 | 0.583 | 9.26 |
| KBRD | 0.267 | 0.0458 | 0.0134 | 0.00579 | 0.469 | 1.50 | 3.40 | 4.90 | 0.863 | 0.398 | 0.710 | 52.5 |
| KGSF | **0.383** | **0.115** | **0.0444** | **0.0200** | 0.340 | 0.910 | 3.50 | 6.20 | **0.888** | **0.477** | **0.767** | 50.1 |
| TG-ReDial | 0.125 | 0.0204 | 0.00354 | 0.000803 | 0.881 | 1.75 | 7.00 | 12.0 | 0.810 | 0.332 | 0.598 | **7.41** |



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