| Evaluating Neural Word Representations in Tensor-Based Compositional Settings D Milajevs, D Kartsaklis, M Sadrzadeh, M Purver 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014 | 125 | 2014 |
| Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning J Cheng, D Kartsaklis 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015 | 94 | 2015 |
| Prior Disambiguation of Word Tensors for Constructing Sentence Vectors D Kartsaklis, M Sadrzadeh 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013 | 91 | 2013 |
| A Unified Sentence Space for Categorical Distributional-Compositional Semantics: Theory and Experiments D Kartsaklis, M Sadrzadeh, S Pulman COLING 2012: Posters, 549-558, 2012 | 88 | 2012 |
| Open System Categorical Quantum Semantics in Natural Language Processing R Piedeleu, D Kartsaklis, B Coecke, M Sadrzadeh 6th Conference on Algebra and Coalgebra in Computer Science (CALCO), 2015 | 85 | 2015 |
| Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs D Kartsaklis, MT Pilehvar, N Collier Empirical Methods in Natural Language Processing (EMNLP), 2018 | 63 | 2018 |
| A Study of Entanglement in a Categorical Framework of Natural Language D Kartsaklis, M Sadrzadeh Proceedings of the 11th Workshop on Quantum Physics and Logic (QPL), 2014 | 61 | 2014 |
| Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras D Kartsaklis, M Sadrzadeh, S Pulman, B Coecke A. Chubb J. Eskandarian and V. Harizanov, editors, Logic and Algebraic …, 2013 | 59 | 2013 |
| QNLP in practice: Running compositional models of meaning on a quantum computer R Lorenz, A Pearson, K Meichanetzidis, D Kartsaklis, B Coecke Journal of Artificial Intelligence Research 76, 1305-1342, 2023 | 54 | 2023 |
| Sentence Entailment in Compositional Distributional Semantics E Balkir, D Kartsaklis, M Sadrzadeh International Symposium of Artificial Intelligence and Mathematics (ISAIM), 2015 | 47* | 2015 |
| Separating Disambiguation from Composition in Distributional Semantics D Kartsaklis, M Sadrzadeh, S Pulman 17th Conference on Natural Language Learning (CoNLL), 2013 | 46 | 2013 |
| Compositional Distributional Semantics with Compact Closed Categories and Frobenius Algebras D Kartsaklis Ph.D. Dissertation, University of Oxford, 2015 | 42 | 2015 |
| Card-660: Cambridge Rare Word Dataset-a Reliable Benchmark for Infrequent Word Representation Models MT Pilehvar, D Kartsaklis, V Prokhorov, N Collier Empirical Methods in Natural Language Processing (EMNLP), 2018 | 36 | 2018 |
| Conversational semantic parsing for dialog state tracking J Cheng, D Agrawal, HM Alonso, S Bhargava, J Driesen, F Flego, ... Empirical Methods in Natural Language Processing (EMNLP), 2020 | 35 | 2020 |
| Compositional Operators in Distributional Semantics D Kartsaklis Springer Science Reviews, 2014 | 33 | 2014 |
| lambeq: An efficient high-level python library for quantum NLP D Kartsaklis, I Fan, R Yeung, A Pearson, R Lorenz, A Toumi, G de Felice, ... arXiv preprint arXiv:2110.04236, 2021 | 31 | 2021 |
| Integrating Machine Translation with Translation Memory: A Practical Approach P Kanavos, D Kartsaklis Second Joint EM+/CNGL Workshop Bringing MT to the User: Research on …, 2010 | 21* | 2010 |
| A CCG-based version of the DisCoCat framework R Yeung, D Kartsaklis SemSpace 2021, 2021 | 20 | 2021 |
| Distributional Inclusion Hypothesis for Tensor-based Composition D Kartsaklis, M Sadrzadeh COLING 2016, 2016 | 20 | 2016 |
| Resolving Lexical Ambiguity in Tensor Regression Models of Meaning D Kartsaklis, N Kalchbrenner, M Sadrzadeh 52th Annual Meeting of the Association for Computational Linguistics (ACL), 2014 | 19 | 2014 |
Mehrnoosh SadrzadehReader in Computer Science, Department of Computer Science, University College LondonVerified email at ucl.ac.uk
