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  • The Alan Turing Institute, Humanities and data science special interest group (2020). The challenges and prospects of the intersection of humanities and data science: A White Paper from The Alan Turing Institute. The Alan Turing Institute. https://doi.org/10.6084/M9.FIGSHARE.12732164 >>>
  • RAAAF, Rietveld, E., Rietveld, R., Mackic, A., van Waalwijk van Doorn, E., & Bervoets, B. (2015). The End of Sitting. Harvard Design Magazine, 40, 180-181. https://erikrietveld.files.wordpress.com/2015/06/rietveldetal2015harvarddesignmag.pdf >>>
  • Brave , R., Russo, F., Uzovic, O., & Wagemans, J. (2023). Can an AI Analyze Arguments? Argument-Checking and the Challenges of Assessing the Quality of Online Information. In C. El Morr (Ed.), AI and Society: Tensions and Opportunities (pp. 267-281). (Chapman & Hall/CRC Artificial Intelligence and Robotics Series). CRC Press. https://doi.org/10.1201/9781003261247-20 >>>
  • Correia, G., Niculae, V., Aziz, W., & Martins, A. (2021). Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), 34th Concerence on Neural Information Processing Systems (NeurIPS 2020): online, 6-12 December 2020 (Vol. 15, pp. 11789-11802). (Advances in Neural Information Processing Systems; Vol. 33). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2020/hash/887caadc3642e304ede659b734f79b00-Abstract.html >>>
  • Aarts, E. (1995). Complexity of pure Prolog programs. In M. Trautwein, & S. Fischer (Eds.), Proceedings Accolade '95 (pp. 13-33). Dutch Graduate School in Logic (OZSL). >>>
  • Aarts, E. (1995). Investigations in Logic, Language and Information. [Thesis, internally prepared, elders]. >>>
  • Aarts, E. (1995). Non-associative Lambek categorial grammar in polynomial time. Mathematical Logic Quarterly, 42(1). >>>
  • Aarts, H. M. F. M., & Trautwein, M. H. (1994). The Non-associative Lambek Calculus in Polynomial Time. In G. J. van Noord, & G. Bouma (Eds.), Proceedings of CLIN IV (pp. 7-17). Rijksuniversiteit Groningen. >>>
  • Aarts, H. M. F. M. (1994). Proving Theorems of the Lambek calculus of order 2 in Polynomial Time. Studia Logica, 53(3), 373-387. >>>
  • Aarts, H. M. F. M. (1994). Parsing second order Lambek grammar in polynomial time. In M. Stokhof, & P. Dekker (Eds.), Proceedings of the Ninth Amsterdam Colloquium (pp. 35-45). ILLC. >>>
  • Abnar, S., Ahmed, R., Mijnheer, M., & Zuidema, W. (2018). Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. In Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2018): January 7, 2018 (pp. 57-66). Association for Computational Linguistics. https://doi.org/10.18653/v1/W18-0107 >>>
  • Abnar, S. (2023). Inductive biases for learning natural language. [Thesis, fully internal, Universiteitsbibliotheek]. >>>
  • Aboh, E. O., & Nauze, F. (2008). Tense, mood, and aspects in Gungbe (Kwa)? Typological studies in language, 79, 215-239. >>>
  • Abramova, E., Fernández, R., & Sangati, F. (2013). Automatic Labeling of Phonesthemic Senses. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Cooperative Minds: Social Interaction and Group Dynamics: Proceedings of the 35th Annual Meeting of the Cognitive Science Society : Berlin, Germany, July 31-August 3, 2013 (pp. 1696-1701). Cognitive Science Society. https://cogsci.mindmodeling.org/2013/papers/0318/index.html >>>
  • Abramova, E., & Fernández, R. (2016). Questioning Arbitrariness in Language: a Data-Driven Study of Conventional Iconicity. In K. Knight, A. Nenkova, & O. Rambow (Eds.), NAACL HLT 2016 : The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference : June 12-17, 2016, San Diego, California, USA (pp. 343-352). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N16-1038 >>>
  • Abramsky, S., Kontinen, J., Väänänen, J., & Vollmer, H. (Eds.) (2016). Dependence Logic: Theory and Applications. Birkhäuser. https://doi.org/10.1007/978-3-319-31803-5 >>>
  • Abramsky, S., & Väänänen, J. (2009). From IF to BI: A tale of dependence and separation. Synthese, 167(2), 207-230. https://doi.org/10.1007/s11229-008-9415-6 >>>
  • Accorsi, R., Areces, C. E., & de Rijke, M. (1999). Towards feature interaction via stable models. In Proceedings WFM'99 >>>
  • Aceto, L., Ingólfsdóttir, A., Prisacariu, C., & Sack, J. (2013). Compositional Reasoning for Multi-Modal Logics. In S. Artemov, & A. Nerode (Eds.), Logical Foundations of Computer Science: International Symposium, LFCS 2013, San Diego, CA, USA, January 6-8, 2013 : proceedings (pp. 1-15). (Lecture Notes in Computer Science; Vol. 7734). Springer. https://doi.org/10.1007/978-3-642-35722-0_1 >>>
  • Achimescu, A., Baltag, A., & Sack, J. (2019). The Probabilistic Logic of Communication and Change. Journal of Logic and Computation, 29(7), 1015-1040. https://doi.org/10.1093/logcom/exv084 >>>
 
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