efficient-NLP/AI

A Paradigm Shift from “Human Writing” to “Machine Generation” in Personality Test Development: An Application of State-of-the-art Natural Language Processing

Synthetic Question Value Estimation for Domain Adaptation of Question Answering

Efficient NLP/AI

We study building NLP/AI models with limited supervision, especially for low-resource domains (e.g., healthcare).

CliniQG4QA: Generating diverse questions for domain adaptation of clinical question answering

An Imitation Game for Learning Semantic Parsers from User Interaction

StaQC: A systematically mined question-code dataset from stack overflow

Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint