Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples

WS 2019 Kit KuksenokAndriy Martyniv

We describe and validate a metric for estimating multi-class classifier performance based on cross-validation and adapted for improvement of small, unbalanced natural-language datasets used in chatbot design. Our experiences draw upon building recruitment chatbots that mediate communication between job-seekers and recruiters by exposing the ML/NLP dataset to the recruiting team... (read more)

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