Yufang Hou

Research group:

Natural Language Processing (NLP) is a multidisciplinary research field within artificial intelligence (AI) that integrates principles from computer science, linguistics, cognitive science, and related disciplines. It aims to enable machines to understand, interpret, and generate human language across various societal domains, including education, healthcare, scientific research, finance, and beyond. 

At the IT:U NLP Lab, our overarching goals are twofold: (a) to develop robust and trustworthy language processing techniques informed by linguistic principles for understanding and generating human language; and (b) to build human-centered NLP applications that advance education, social sciences, humanities, and scientific discovery.

Short bio:

Yufang Hou is researcher in natural language processing (NLP) and computational linguistics. She leads the IT:U NLP Lab to conduct cutting-edge research in NLP, with a strong focus on large language model (LLM) governance, cross-document NLP, knowledge and reasoning, and human-centred NLP applications for education, social sciences, humanities, and scientific discovery. Yufang has a strong background in discourse processing, computational argumentation, fact-checking, scholarly document processing, and information extraction. Her research aims to develop robust and trustworthy NLP techniques to improve human-AI and human-human interactions, and to solve real-world problems.