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Robin Piedeleu

Personal photo - Robin Piedeleu

Robin Piedeleu

Doctoral Student

Wolfson Building, Parks Road, Oxford OX1 3QD

Interests

On the theoretical side of computational linguistics, I am interested in categorical and logical aspects of natural language and, in particular, in reconciling symbolic and statistical approaches.

I investigate the mathematical structure of contextuality and ambiguity in various models of linguistic meaning. Ultimately, I wish to clarify how meaning emerges out of composing discourse fragments (from words to sentences, sentences to text) and how we resolve ambiguity by refering to a broader context (from text to sentences, sentences to words).  To tackle these problems I use the tools of category theory, logic and machine learning.

More recently, I have become interested in the structural properties of sequence to sequence models in NLP, especially in relation to automata and formal languages, their discrete counterpart. 

Biography

After a degree at HEC Paris I studied mathematics at Université Pierre et Marie Curie (Paris VI) and completed a masters degree in computer science at the University of Oxford. My MSc. thesis explored abstract and concrete models of lexical ambiguity in compositional distributional semantics.

Selected Publications

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Activities

Supervisor