Papers by Brigi Fodor

1 papers
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data (D19-1)

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Challenge: a large number of goal-oriented dialogue datasets are limited in their size, linguistic diversity, domain coverage, or annotation granularity.
Approach: They propose a multi-domain goal-oriented dialogue dataset that uses a crowd-sourced worker and a trained annotator to curate and annotate large scale data.
Outcome: The proposed dataset is 8 times the size of the largest comparable dialogue dataset available to the public.

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