Center for Artificial Intelligence Challenge on Conversational AI Correctness
Marek Kubis, Paweł Skórzewski, Marcin Sowański, Tomasz Ziętkiewicz · Annals of Computer Science and Information Systems · 2023
This paper describes a challenge on Conversational AI correctness with the goal to develop Natural Language Understanding models that are robust against speech recognition errors.The data for the competition consist of natural language utterances along with semantic frames that represent the commands targeted at a virtual assistant.The specification of the task is given along with the data preparation procedure and the evaluation rules.The baseline models for the task are discussed and the results of the competition are reported.