Comments (1)
Hello,
TOD-BERT was originally proposed as a pretrained LM that any TOD downstream task can be fine-tuned from. If you want to connect these components, I will suggest you check my other paper simpleTOD and its follow-up papers. Hope this help.
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Related Issues (20)
- 'dual_encoder_ranking' object has no attribute 'final_response_output' HOT 1
- Number of system acts for DSCT2 and GSIM HOT 1
- [Errno 2] No such file or directory: '/home/ToD-BERT-dev/data/MultiWOZ-2.1/train_dials.json' HOT 3
- Input for DA classification: context and system turn HOT 3
- How do I format new data for pertaining and fine-tuning tasks. HOT 2
- loss_rs is not used when pretraining ToD-BERT-JNT? HOT 2
- Cannot reproduce the results in paper using your provided pre-trained models HOT 2
- L2 normalization for hid_resp and hid_cont HOT 1
- How to set dialog state tracking labels if the parts of histories are truncated HOT 1
- KeyError: 'slots' HOT 12
- Can pretrained/finetuned TOD BERT be able to check when not to predict response in case of response selection task? HOT 2
- Question about output labels HOT 1
- Distributed training forthe RCL task HOT 2
- How to decode? HOT 1
- The download links of your pre-trained models are invalid now HOT 1
- Cosine similarity from tod-bert encodings
- Mapping response selection output HOT 1
- Use ToD-BERT for response selection HOT 1
- Requirements list HOT 1
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