Add abstract class for dialogue policy #238
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NoB0
reviewed
Aug 3, 2023
kbalog
requested changes
Oct 4, 2023
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| The dialogue policy generates the next dialogue act of an agent based on the | ||
| current dialogue state (last user's utterance and dialogue history). It defines | ||
| the flow of the conversation, i.e., what steps an agent must take at every | ||
| stage. The annotations of the dialogue act represent what the agent must elicit, | ||
| recommend, or inform. The output of the dialogue policy is converted to a | ||
| natural language response by the natural language generator. |
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@NoB0 Is this policy meant only for the conversational agent or could it also be used for a user simulator? In the latter case, this text needs to be updated.
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| For example, in the context of recommendation system, the dialogue act with | ||
| intent ELICIT is generated if the agent does not store any user preferences. | ||
| For the user intent REVEAL, the dialogue policy triggers the generation of an | ||
| item recommendation (dialogue act with intent RECOMMEND). |
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| This method is most likely used in receive_utterance() in the agent to | ||
| generate the agent's response. Dialogue act prediction is composed of | ||
| two steps: intent prediction and annotation prediction. |
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This is not needed (we don't need to make assumptions about how the agent is implemented).
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Fixes #156