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Pavel Danchenko

2 accepted papers

2022

Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study

EMNLP 2022industry

Imbalanced data distribution is a practical and common challenge in building production-level machine learning (ML) models in industry, where data usually exhibits long-tail distributions. For instance, in virtual AI Assistants, such as Google Assistant, Amazon Alexa and Apple Siri, the “play music”…

Cited by 10SourcePDFScholar
2022

Deploying a Retrieval based Response Model for Task Oriented Dialogues

EMNLP 2022industry

Task-oriented dialogue systems in industry settings need to have high conversational capability, be easily adaptable to changing situations and conform to business constraints. This paper describes a 3-step procedure to develop a conversational model that satisfies these criteria and can efficiently…

Cited by 0SourcePDFScholar