PhD Students
Qiming Bao – Multi-hop Logic Reasoning in Natural Language with Neural Networks | 2019 – 2022
Aaron Keesing – Speech Emotion Recognition with Different Accents | 2019 – 2022
Qianqian Qi – Incorporating Multiple Types of Information in Condition Text Generation | 2019 – 2022
Zhenyun Deng – Knowledge Fusion with Graph Neural Network for Question Answering | 2019 – 2022
Stefan Fuchs – Towards Automated Compliance Checking in Construction | 2019 – 2022
Tim Hartill – Empirically Investigating the Role of Training Data on the Inductive Bias of Question Answering Systems | 2019 – 2022
Yonghua Zhu – Inductive Reasoning over Multiple Texts for Reading Comprehension | 2020 – 2023
MSc Students
Ziqi Wang – TQALL: Text-based Question Answering for Low-resource Languages | 2020 – 2021
Kobe Knowles – Investigating Reading Strategies in Question Answering Systems | 2021