LIDA: Lightweight Interactive Dialogue Annotator

IJCNLP 2019 Edward CollinsNikolai RozanovBingbing Zhang

Dialogue systems have the potential to change how people interact with machines but are highly dependent on the quality of the data used to train them. It is therefore important to develop good dialogue annotation tools which can improve the speed and quality of dialogue data annotation... (read more)

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