Article published In:
Linguistics in the Netherlands 2023
Edited by Sterre Leufkens and Marco Bril
[Linguistics in the Netherlands 40] 2023
► pp. 301308
References
Abid, Abubakar, Maheen Farooqi & James Zou
2021 “Persistent Anti-Muslim Bias in Large Language Models”. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’21), 298–306. DOI logoGoogle Scholar
Baria, A. T., & Keith Cross
2021 “The brain is a computer is a brain: neuroscience’s internal debate and the social significance of the Computational Metaphor”. arXiv preprint arXiv:2107.14042.Google Scholar
Bender, Emily M.
2011 “On achieving and evaluating language-independence in NLP”. Linguistic Issues in Language Technology 61. DOI logoGoogle Scholar
Bender, Emily M., Timnit Gebru, Angelina McMillan-Major & Shmargaret Shmitchell
2021 “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, 610–623. DOI logoGoogle Scholar
Bender, Emily M., & Alexander Koller
2020 “Climbing towards NLU: On meaning, form, and understanding in the age of data”. Proceedings of the 58th annual meeting of the association for computational linguistics, 5185–5198. DOI logoGoogle Scholar
Caliskan, Aylin, Joanna J. Bryson & Arvind Narayanan
2017 “Semantics Derived Automatically from Language Corpora Contain Human-like Biases”. Science 3561: 183–186. DOI logoGoogle Scholar
Castelvecchi, Davide
2016 “Can we open the black box of AI?”. Nature News, 538 (7623), 20. DOI logoGoogle Scholar
Chrupała, Grzegorz
2022 “Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques”. Journal of Artificial Intelligence Research 731: 673–707. DOI logoGoogle Scholar
Cohn, Neil & Joost Schilperoord
2022 “ Reimagining language”. Cognitive Science 46(7): 1–6, e13164. DOI logoGoogle Scholar
Contreras Kallens, Pablo, Ross Deans Kristensen-McLachlan & Morten H. Christiansen
2023 “Large language models demonstrate the potential of statistical learning in language”. Cognitive Science 47(3), e13256. DOI logoGoogle Scholar
Corti, Kevin, & Alex Gillespie
2016 “Co-constructing intersubjectivity with artificial conversational agents: People are more likely to initiate repairs of misunderstandings with agents represented as human”. Computers in Human Behavior 581: 431–442. DOI logoGoogle Scholar
Dingemanse, Mark, Andreas Liesenfeld, Marlou Rasenberg, Saul Albert, Felix K. Ameka, Abeba Birhane, Dimitris Bolis, Justine Cassell, Rebecca Clift, Elena Cuffari, Hanne De Jaegher, Catarina Dutilh Novaes, N. J. Enfield, Riccardo Fusaroli, Eleni Gregoromichelaki, Edwin Hutchins, Ivana Konvalinka, Damian Milton, Joanna Rączaszek-Leonardi, … Martina Wiltschko
2023 “Beyond single-mindedness: A figure-ground reversal for the cognitive sciences”. Cognitive Science 47(1): e13230. DOI logoGoogle Scholar
Elman, Jeffrey L.
2009 “On the meaning of words and dinosaur bones: Lexical knowledge without a lexicon”. Cognitive Science 33(4): 547–582. DOI logoGoogle Scholar
Ferrara, Lindsay, & Gabrielle Hodge
2018 “Language as description, indication, and depiction”. Frontiers in Psychology 91: 716. DOI logoGoogle Scholar
Goodwin, Charles
2000 “Action and embodiment within situated human interaction”. Journal of Pragmatics 32(10): 1489–1522. DOI logoGoogle Scholar
Holm, Elizabeth A.
2019 “In defense of the black box”. Science 364(6435): 26–27. DOI logoGoogle Scholar
Hu, Jennifer, Sammy Floyd, Olessia Jouravlev, Evelina Fedorenko, & Edward Gibson
2022 “A fine-grained comparison of pragmatic language understanding in humans and language models”. arXiv:2212.06801. DOI logoGoogle Scholar
Jackendoff, Ray
2002Foundations of Language: Brain, Meaning, Grammar, Evolution. Oxford: Oxford University Press. DOI logoGoogle Scholar
Ji, Ziwei, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Wenliang Dai, Andrea Madotto, & Pascale Fung
2023 “Survey of hallucination in natural language generation”. ACM Computing Surveys 55(12): 1–38. DOI logoGoogle Scholar
Landauer, Thomas K., & Susan T. Dumais
1997 “A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge”. Psychological Review 104(2): 211–240. DOI logoGoogle Scholar
Mahowald, Kyle, Anna A. Ivanova, Idan A. Blank, Nancy Kanwisher, Joshua B. Tenenbaum, & Evelina Fedorenko
2023 “Dissociating language and thought in large language models: a cognitive perspective”. arXiv preprint arXiv:2301.06627.Google Scholar
Perniss, Pamela
2018 “Why we should study multimodal language”. Frontiers in Psychology 91: 1109. DOI logoGoogle Scholar
Venkit, Pranav Narayanan, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao Huang, & Shomir Wilson
2023 “Nationality Bias in Text Generation”. arXiv preprint arXiv:2302.02463.Google Scholar
Verhagen, Arie
2008 “Intersubjectivity and the architecture of the language system”. In The shared mind: Perspectives on intersubjectivity, ed. by Jordan Zlatev, Timothy P. Racine, Chris Sinha & Esa Itkonen, 307–331. Amsterdam/Philadelphia: John Benjamins. DOI logoGoogle Scholar
Wirtz, Bernd W., Jan C. Weyerer, & Carolin Geyer
2019 “Artificial intelligence and the public sector – applications and challenges”. International Journal of Public Administration 42(7), 596–615. DOI logoGoogle Scholar