Cohort 2022
Meet the CDT NLP's fourth cohort of Doctoral Researchers
![Cohort 2022](/sites/default/files/styles/landscape_breakpoints_theme_uoe_mobile_1x/public/thumbnails/image/cohort22-light_copy.jpg?itok=qlQjTx-h)
![]() Research Interests: Acquiring and Processing Semi-transparent Verb-Argument Structures in the L1 and the L2 Research Topic: On the Edge of Productivity: Investigating the Acquisition, Processing, & Emergence of Semi-Productive Verb-Argument Structures Supervisors: Jenny Culbertson / Frank Mollica |
![]() Research Interests: Knowledge representation and reasoning; editing and updating knowledge in language models; interactive learning system Research Topic: Reducing faithfulness hallucination in summarisation Supervisors: Pasquale Minervini / Ivan Titov |
![]() Research Interests: Computational models of cognitions, pragmatics, quantitative reasoning and language acquisition; in NLP; NLP for low-resourced languages and the philosophy of cognitive science and language Research Topic: Computational Quantification of Quantifier Cognition Supervisors: Dan Lassiter / Frank Mollica |
![]() Research Interests: Semantics/pragmatics acquisition; Computational modelling of language acquisition Research Topic: Slow mapping words as incremental meaning refinement Supervisors: Hugh Rabagliati / Neil Bramley |
![]() Research Interests: Neuro-symbolic methods for NLP, compositional generalization, learning from weak supervision, and cross-lingual and multilingual representation learning Research Topic: Functional Equivalence of Code and its Understanding through LLMs Supervisors: Antonio Vergari / Shay Cohen |
![]() Research Interests: 3D scene generation from textual descriptions and physics-informed networks Research Topic: Reasoning about complex physical systems in natural language Supervisors: Kartic Subr / Mirella Lapata
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![]() Research Interests: Multimodality, hierarchical language modelling, eliminating redundancies in neural networks Research Topic: Conditional Compression for Efficient Neural Models Supervisors: Edo Ponti / Ivan Titov |
![]() Research Interests: Deep learning for Speech synthesis, Speech recognition, and Natural Language Understanding Research Topic: Analysis of self-supervised speech representations for tone languages Supervisors: Simon King / Korin Richmond |
![]() Research Interests: Multi-modal (language and vision) learning; reasoning and understanding of long temporal data; efficient representation learning Research Topic: Understanding Long-form Narratives from Different Perspectives Supervisors: Frank Keller / Mirella Lapata / Ivan Titov |
![]() Research Interests: Finding out-of-the-box applications for prompting, such as data augmentation or creating synthetic examples. Making pre-trained language models more efficient. Cross-lingual NLP Research Topic: Collaborations between LLMs with Privacy and Efficiency Constraints Supervisors: Ivan Titov / Lexi Birch |
![]() Research Interests: Neuro-symbolic learning of logical predicate structures, few-shot and zero-shot learning, out-of-domain generalization Research Topic: Modelling human-level concept acquisition and deployment Supervisors: Alex Doumas / Siddharth Narayanaswamy |
![]() Research Interests: Multilingual semantic parsing, especially text-to-SQL Research Topic: Cross-Domain and Cross-Lingual Text-to-SQL Semantic Parsing Supervisors: Jeff Pan / Mirella Lapata |
![]() Research Interests: Machine Translation and Natural Language Generation/Understanding. Specifically, deep learning applications in NLP with focus on linguistically-informed and low-resourced systems Research Topic: Prosody in Text: What is lost and How to retain it Supervisors: Barry Haddow / Lexi Birch |
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