Natural Language Processing

This paper proposes a novel self-training scheme SIAST for imbalanced slot filling that aims to learn unbiased margins between slot classes while mitigating potential slot confusion, and adaptively samples pseudo-labelled data to balance the slot distribution of the training set.

This paper describes the development of a chatbot as a cognitive user interface for portfolio optimization.