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first version that can convert multiwoz data, trains supervised model and...
first version that can convert multiwoz data, trains supervised model and evaluates model with simulated user, f1-score is 0.52 and success rate is 73%
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- .gitignore 2 additions, 1 deletion.gitignore
- convlab2/dialog_agent/agent.py 2 additions, 8 deletionsconvlab2/dialog_agent/agent.py
- convlab2/evaluator/multiwoz_eval.py 12 additions, 15 deletionsconvlab2/evaluator/multiwoz_eval.py
- convlab2/policy/evaluate.py 2 additions, 1 deletionconvlab2/policy/evaluate.py
- convlab2/policy/mle/multiwoz/experiment_2022-02-14-18-40-51/TB_summary/events.out.tfevents.1644860451.f1acd568-7cb7-4ba9-96d4-9baa7357316e.fritz.box 0 additions, 0 deletions...1644860451.f1acd568-7cb7-4ba9-96d4-9baa7357316e.fritz.box
- convlab2/policy/mle/multiwoz/experiment_2022-02-14-18-40-51/configs/config_saved.json 0 additions, 1 deletion.../experiment_2022-02-14-18-40-51/configs/config_saved.json
- convlab2/policy/ppo/semantic_level_config.json 2 additions, 2 deletionsconvlab2/policy/ppo/semantic_level_config.json
- convlab2/policy/rule/multiwoz/policy_agenda_multiwoz.py 4 additions, 10 deletionsconvlab2/policy/rule/multiwoz/policy_agenda_multiwoz.py
- convlab2/util/multiwoz/lexicalize.py 8 additions, 0 deletionsconvlab2/util/multiwoz/lexicalize.py
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