Papers with metric F1-score

    1 papers
    Incremental processing of noisy user utterances in the spoken language understanding task (D19-55)

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    Challenge: triggered actions with high executions times can cause dialog systems to react slowly due to high latency and high latex.
    Approach: They propose a model-agnostic method to achieve high quality in processing incrementally produced partial utterances.
    Outcome: The proposed method improves the metric F1-score by 47.91 percentage points . the proposed method can be used to create low-latency natural language understanding components on ATIS datasets.

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