References

  1. Samson Abramsky (2016): Contextual semantics: From quantum mechanics to logic, databases, constraints, and complexity. In: Contextuality from Quantum Physics to Psychology. World Scientific, pp. 23–50, doi:10.1142/9789814730617_0002.
  2. Samson Abramsky & Mehrnoosh Sadrzadeh (2014): Semantic Unification. In: Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 1–13, doi:10.1007/978-3-642-54789-8_1.
  3. Stephen Clark, Bob Coecke, Edward Grefenstette, Stephen Pulman & Mehrnoosh Sadrzadeh (2014): A quantum teleportation inspired algorithm produces sentence meaning from word meaning and grammatical structure. Malaysian Journal of Mathematical Sciences 8, pp. 15–25. ArXiv:1305.0556.
  4. Stephen Clark, Bob Coecke & Mehrnoosh Sadrzadeh (2008): A Compositional Distributional Model of Meaning. Proceedings of the Second Symposium on Quantum Interaction (QI-2008), pp. 133–140.
  5. Stephen Clark, Bob Coecke & Mehrnoosh Sadrzadeh (2010): Mathematical foundations for a compositional distributional model of meaning. In: J. van Benthem, M. Moortgat & W. Buszkowski: A Festschrift for Jim Lambek, Linguistic Analysis 36, pp. 345–384. Arxiv:1003.4394.
  6. Bob Coecke & Ross Duncan (2011): Interacting quantum observables: categorical algebra and diagrammatics. New Journal of Physics 13, pp. 043016, doi:10.1088/1367-2630/13/4/043016. arXiv:quant-ph/09064725.
  7. Bob Coecke, Fabrizio Genovese, Martha Lewis, Dan Marsden & Alex Toumi (2018): Generalized relations in linguistics & cognition. Theoretical Computer Science, doi:10.1016/j.tcs.2018.03.008. Available at http://www.sciencedirect.com/science/article/pii/S0304397518301476.
  8. Bob Coecke & Aleks Kissinger (2017): Picturing Quantum Processes: A First Course in Quantum Theory and Diagrammatic Reasoning. Cambridge University Press. Available at http://dx.doi.org/10.1017/9781316219317.
  9. Bob Coecke & Eric Oliver Paquette (2011): Categories for the practicing physicist. In: B. Coecke: New Structures for Physics, Lecture Notes in Physics. Springer, pp. 167–271, doi:10.1007/978-3-642-12821-9. arXiv:0905.3010.
  10. Antonin Delpeuch & Anne Preller (2014): From Natural Language to RDF Graphs with Pregroups. In: EACL'2014: 14th Conference of the European Chapter of the Association for Computational Linguistics. EACL, Gothenburg, Sweden, pp. 55–62. Available at https://hal-lirmm.ccsd.cnrs.fr/lirmm-00992381.
  11. Edward Grefenstette & Mehrnoosh Sadrzadeh (2011): Experimental Support for a Categorical Compositional Distributional Model of Meaning. In: The 2014 Conference on Empirical Methods on Natural Language Processing., pp. 1394–1404. ArXiv:1106.4058.
  12. Hans Kamp & Uwe Reyle (1993): From Discourse to Logic: Introduction to Model-theoretic Semantics of Natural Language, Formal Logic and Discourse Representation Theory. Studies in Linguistics and Philosophy 42. Springer, Dordrecht, doi:10.1007/978-94-017-1616-1.
  13. Jim Lambek (2008): From Word to Sentence: A Computational Algebraic Approach to Grammar. Open access publications. Polimetrica.
  14. Hamid Palangi, Paul Smolensky, Xiaodong He & Li Deng (2017): Question-Answering with Grammatically-Interpretable Representations. arXiv preprint arXiv:1705.08432.
  15. Mehrnoosh Sadrzadeh, Stephen Clark & Bob Coecke (2013): The Frobenius anatomy of word meanings I: subject and object relative pronouns. Journal of Logic and Computation 23, pp. 1293–1317, doi:10.1093/logcom/ext044. ArXiv:1404.5278.
  16. Mehrnoosh Sadrzadeh, Stephen Clark & Bob Coecke (2014): The Frobenius anatomy of word meanings II: possessive relative pronouns. Journal of Logic and Computation abs/1406.4690, pp. exu027, doi:10.1093/logcom/exu027. Available at http://arxiv.org/abs/1406.4690.
  17. P. Selinger (2010): A Survey of Graphical Languages for Monoidal Categories. In: New Structures for Physics. Springer Berlin Heidelberg, pp. 289–355, doi:10.1007/978-3-642-12821-9_4.
  18. Paul Smolensky (1987): Connectionist AI, symbolic AI, and the brain. Artif. Intell. Rev. 1(2), pp. 95–109, doi:10.1007/BF00130011.
  19. Giorgio Stefanoni, Boris Motik & Egor V. Kostylev (2018): Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation. In: Pierre-Antoine Champin, Fabien L. Gandon, Mounia Lalmas & Panagiotis G. Ipeirotis: Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018. ACM, pp. 1043–1052, doi:10.1145/3178876.3186003.
  20. Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel & Guillaume Bouchard (2017): Knowledge Graph Completion via Complex Tensor Factorization. J. Mach. Learn. Res. 18(1), pp. 4735–4772. Available at http://dl.acm.org/citation.cfm?id=3122009.3208011.
Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org