convlab2.e2e.sequicity.camrest package¶
Submodules¶
convlab2.e2e.sequicity.camrest.sequicity module¶
Sequicity is an end-to-end task-oriented dialog system based on a single sequence-to-sequence model that uses belief span to track dialog believes. We adapt the code from github to work in multiwoz corpus.
Reference:
Lei, W., Jin, X., Kan, M. Y., Ren, Z., He, X., & Yin, D. (2018, July). Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 1437-1447).
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class
convlab2.e2e.sequicity.camrest.sequicity.Sequicity(model_file='https://convlab.blob.core.windows.net/convlab-2/sequicity_camrest.zip')¶ Bases:
convlab2.dialog_agent.agent.Agent-
init_session()¶ Reset the class variables to prepare for a new session.
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response(usr)¶ Generate agent response given user input.
- Args:
- observation (str):
The input to the agent.
- Returns:
- response (str):
The response generated by the agent.
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z2degree(gen_z)¶
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convlab2.e2e.sequicity.camrest.sequicity.denormalize(uttr)¶