nlu.neural_nlu

Module Contents

Classes

NeuralNLU

Helper class that provides a standard way to create an ABC using

Attributes

nlu

class nlu.neural_nlu.NeuralNLU(config: Dict[str, Any], path: str | None = _DEFAULT_MODEL_PATH)

Bases: moviebot.nlu.nlu.NLU

Helper class that provides a standard way to create an ABC using inheritance.

generate_dacts(user_utterance: moviebot.core.utterance.utterance.UserUtterance, options: moviebot.core.core_types.DialogueOptions = None, dialogue_state: moviebot.dialogue_manager.dialogue_state.DialogueState = None) → List[moviebot.dialogue_manager.dialogue_act.DialogueAct]

Processes the utterance according to dialogue state and generate a user dialogue act for Agent to understand.

Parameters:

• user_utterance – User utterance class containing user input.

• options – A list of options provided to the user to choose from. Defaults to None.

• dialogue_state – The current dialogue state, if available. Defaults to None.

Returns:

A list of dialogue acts.

annotate_utterance(user_utterance: moviebot.core.utterance.utterance.UserUtterance) → Tuple[str, list]

Annotates the utterance with intent and slot information.

Parameters:

user_utterance – User utterance class containing user input.

Returns:

A tuple of the intent and slot information.

get_constraint_operator(text: str) → moviebot.nlu.annotation.operator.Operator

Gets the operator based on the text. Only supports negation for now.

Parameters:

text – The text to analyze.

Returns:

The operator.

nlu.neural_nlu.nlu