Search Results for author: Dustin Axman

Found 2 papers, 0 papers with code

Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models

no code implementations EMNLP (Eval4NLP) 2020 Reda Yacouby, Dustin Axman

We present a probabilistic extension of Precision, Recall, and F1 score, which we refer to as confidence-Precision (cPrecision), confidence-Recall (cRecall), and confidence-F1 (cF1) respectively.

Contextual Data Augmentation for Task-Oriented Dialog Systems

no code implementations16 Oct 2023 Dustin Axman, Avik Ray, Shubham Garg, Jing Huang

While dialog response generation has been widely studied on the agent side, it is not evident if similar generative models can be used to generate a large variety of, and often unexpected, user inputs that real dialog systems encounter in practice.

Data Augmentation Language Modelling +3

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