Cohort 2020
Meet the CDT NLP's second cohort of Doctoral Researchers
Research Interests: Develop interpretable neural models for multi-modal (Language and Vision) summarisation.
Research Topic: Instructional video understanding Supervisors: Laura Sevilla; Frank Keller |
Research Interests: Policy-aware explainable abuse detection. Research Topic: Policy-aware explainable abuse detection Supervisors: Björn Ross; Mirella Lapata |
Research Interests: The evaluation and development of techniques for compositional generalisation in neural models of artificial and natural languages. Research Topic: Memorisation meets compositionality in natural language processing Supervisors: Ivan Titov; Chris Lucas |
Research Interests: Multi-domain neural machine translation and domain generalisation. Research Topic: Exploring movie audio description through the lens of video semantic role labeling Supervisors: Lexi Birch; Frank Keller |
Research Interests: Neuro-atypicalities and how they affect language learning, use, universals and evolution. Research Topic: Language evolution and neurodiversity Supervisors: Jenny Culbertson; Hugh Rabagliati |
Research Interests: Exploring how emergent languages from multi-agent systems could help to transfer knowledge across different environments, with the help from deep reinforcement learning and iterated learning methods. Research Topic: Generalisability from Training Data in Deep Learning Systems Supervisors: Kenny Smith; Stefano Albrecht |
Research Interests: Improving compositional generalisation in semantic parsing. Research Topic: Improving compositional generalization of semantic parsers Supervisors: Ivan Titov: Alexander Koller |
 Research Interests: Natural language generation especially variational auto-encoder and multi-modal language understanding. Research Topic: Important characters detection and grounding in visual stories Supervisors: Frank Keller; Mirella Lapata/Ivan Titov
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 Research Interests: Multi-sentence question-answering and document-level neural machine translation. Research Topic: Leveraging Hierarchical Prototypes as the Verbalizer for Implicit Discourse Relation Recognition Supervisors: Bonnie Webber; Siddharth Narayanaswamy |
Research Interests: Understanding and controlling prosody and style in end-to-end text-to-speech synthesis. Research Topic: Interpretable speaking styles Supervisors: Simon King; Sharon Goldwater |
Research Interests: Transfer learning from linguistic resources to end-to-end text-to-speech synthesis. Research Topic: Improving Seq2Seq TTS frontends with other training sources Supervisors: Korin Richmond; Hao Tang |
Research Interests: Social bias in NLP, computational social science, ethics. Research Topic: In theory and in practice: A holistic inquiry into the impact of biased language technologies Supervisors: Björn Ross; Vaishak Belle; Zachary Horne |
Research Interests: Toward faithfulness: Fact-preserving natural language generation. Research Topic: Matrix factorization for representation analysis Supervisors: Shay Cohen; Bonnie Webber |
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