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I work on logical and mathematical models of natural language, categorial grammars for syntax and compositional vector/tensor spaces for semantics, with the aid of machine learning and algebraic/derivational methods. A recent successful application of my work has been to media recommendations, another one to quantum machine learning.
My work on Compositional Distributional Semantics (DisCoCat) showed how vector semantics of natural language can be made compositional with the use of tensors and tensor contraction. My work on Frobenius algebras and substructural modalities showed how it can be extended to larger fragments of language containing relative clauses, parasitic gaps, quantifiers, and discourse phenomena.
My work on Compositional Distributional Semantics (DisCoCat) showed how vector semantics of natural language can be made compositional with the use of tensors and tensor contraction. My work on Frobenius algebras and substructural modalities showed how it can be extended to larger fragments of language containing relative clauses, parasitic gaps, quantifiers, and discourse phenomena.
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PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCESno. 2268 (2024): 20230013-20230013
2023 IEEE International Symposium on Multimedia (ISM)pp.287-290, (2023)
ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE (2023): 208-220
Research Square (Research Square) (2023)
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Electronic Proceedings in Theoretical Computer Scienceno. 366 (2022): 8-8
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