Chunhua Liu
PhD Student

Melbourne Connect

Computing and Information Systems
The University of Melbourne
Natural Language Processing group

Ph: +61000000000

I am a PhD student in natural language processing at The University of Melbourne under the supervision of Trevor Cohn and Lea Frermann. My research interests center around understanding the structure and relationships between concepts through interdisciplinary perspectives, including natural language processing and cognitive psychology. With a specific emphasis on understanding the structure and reasons behind human word associations, evaluating the potential of word associations as a source of commonsense knowledge and incorporating commonsense knowledge to improve neural models' reasoning ability on tasks, such as commonsense question answering and natural language inferences. Additionally, I am interested in exploring concept representation and categorization across languages and cultures.

News

• July 2023: Attending ACL/StarSEM to present our paper Seeking Clozure Robust Hypernym Extraction from BERT with Anchored Prompts

Recent Papers

• Chunhua Liu, Trevor Cohn and Lea Frermann (2023). Seeking Clozure: Robust Hypernym Extraction from BERT with Anchored Prompts. In *SEM 2023.

• Chunhua Liu, Trevor Cohn, Simon Deyne and Lea Frermann (2022). WAX: A New Dataset for Word Association eXplanations. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022.

• Chunhua Liu, Trevor Cohn and Lea Frermann (2021). Commonsense Knowledge in Word Associations and ConceptNet. In Proceedings of the 25th Conference on Computational Natural Language Learning, CoNLL 2021, Online, November 10-11, 2021.