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Short biography

I am a computer scientist and computational linguist, currently on a self-directed research sabbatical which I started after resigning my from my previous position, Head of Applied Quantum NLP Research at Quantinuum. I hold a Ph.D. in Computer Science from the University of Oxford, and an MSc in Artificial Intelligence from the University of Edinburgh. After my Ph.D. I continued my research on compositionality and natural language semantics as a post-doctoral researcher in the Theory Group of EECS, Queen Mary University of London, and the Department of Theoretical and Applied Linguistics of the University of Cambridge. For two years I was a member of the Siri natural language modelling team at Apple in Cambridge. Before being engaged in scientific research, I was a software engineer and system analyst.

Scientific interests

Natural language semantics • Compositionality • Distributional models of meaning • Lexical ambiguity • Dialogue systems • Mathematics of language • Machine learning/Deep learning for NLP • Knowledge base representation • Category theory • Pregroup and categorial grammars • Diagrammatic reasoning • Quantum computing

Contact

You can reach me by sending a message to: dimkart at gmail dot com.

Selected publications

For a full list please see the Publications page.

• C. Krawchuk, N. Khatri, N. J. Ortega, D. Kartsaklis (2025). Efficient Generation of Parameterised Quantum Circuits from Large Texts [arXiv]

• C. London, D. Brown, W. Xu, S. Vatansever, C. J. Langmead, D. Kartsaklis, S. Clark, K. Meichanetzidis (2023). Peptide Binding Classification on Quantum Computers, Quantum Machine Intelligence, Vol. 6 [article] [arXiv] [code]

• D. Kartsaklis, I. Fan, R. Yeung, A. Pearson, R. Lorenz, A. Toumi, G. de Felice, K. Meichanetzidis, S. Clark, B. Coecke (2021). lambeq: An Efficient High-Level Python Library for Quantum NLP, [arXiv:2110.04236] [cs.CL] [pdf] [toolkit]

• R. Lorenz, A. Pearson, K. Meichanetzidis, D. Kartsaklis, B. Coecke (2023). QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer, Journal of Artificial Intelligence Research, Vol. 76 [pdf] [code]

• R. Yeung, D. Kartsaklis (2021). A CCG-Based Version of the DisCoCat Framework, Proceedings of SemSpace 2021 [pdf] [bibtex] [tool] [corpus]

• J. Cheng, D. Agrawal, H.M. Alonso, S. Bhargava, J. Driesen, F. Flego, D. Kaplan, D. Kartsaklis, L. Li, D. Piraviperumal, J.D. Williams, H. Yu, D. Ó Séaghdha, A. Johannsen (2020). Conversational Semantic Parsing for Dialog State Tracking, Proceedings of EMNLP 2020 [pdf] [bibtex] [dataset]

• D. Kartsaklis, M.T. Pilehvar, N. Collier (2018). Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs, in Proceedings of EMNLP 2018, Brussels, Belgium [pdf] [bibtex] [code] [slides] [poster]

• J. Cheng, D. Kartsaklis (2015). Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning, in Proceedings of EMNLP 2015, Lisbon, Portugal [pdf] [bibtex]

• R. Piedeleu, D. Kartsaklis, B. Coecke, M. Sadrzadeh (2015). Open System Categorical Quantum Semantics in Natural Language Processing, in Proceedings of 6th Conference of Algebra and Coalgebra (CALCO 2015), Nijmegen, The Netherlands [paper]