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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue Dobnik, Simon; Kelleher, John D.; Howes, Christine In: Conference papers (2020) BASE Show details 2 Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing ... Dobnik, Simon; Kelleher, John D.. - : arXiv, 2018 BASE Show details 3 What is not where: the challenge of integrating spatial representations into deep learning architectures ... Kelleher, John D.; Dobnik, Simon. - : arXiv, 2018 BASE Show details 4 Exploring the Functional and Geometric Bias of Spatial Relations Using Neural Language Models Dobnik, Simon; Ghanimifard, Mehdi; Kelleher, John D. In: Conference papers (2018) BASE Show details 5 Back to the Future: Logic and Machine Learning Kelleher, John D.; Dobnik, Simon In: Conference papers (2017) BASE Show details 6 Towards a Computational Model of Frame of Reference Alignment in Swedish Dialogue Dobnik, Simon; Howes, Christine; Kelleher, John D.... In: Conference papers (2016) BASE Show details 7 A Model for Attention-Driven Judgements in Type Theory with Records Dobnik, Simon; Kelleher, John D. In: Conference papers (2016) Abstract: This paper makes three contributions to the discussion on the applicability of Type Theory with Records (TTR) to embodied dialogue agents. First, it highlights the problem of type assignment or judgements in practical implementations which is resource intensive. Second, it presents a judgement control mechanism, which consists of grouping of types into clusters or states by their thematic relations and selection of types following two mechanisms inspired by the Load Theory of selective attention and cognitive control (Lavie et al., 2004), that addresses this problem. Third, it presents a computational framework, based on Bayesian inference, that offers a basis for future practical experimentation on the feasibility of the proposed approach. Keyword: Cognition and Perception; Cognitive Psychology; Computer Sciences; Grounding; Information Fusion; Language; Multimodal Interaction; Perceptual Attention; Reference; Situated Dialog; Type Theory with Records; Vision URL: https://arrow.tudublin.ie/airccon/3 https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1002&context=airccon BASE Hide details 8 Learning spatial referential words with mobile robots Dobnik, Simon In: UK Special Interest Group for Computational Linguistics. Proceedings of the UK Special Interest Group for Computational Linguistics. - [Wechselnde Verlagsorte] 9 (2006), 9-16 BLLDB Show details 9 Inductive learning of lexical semantics with typed unification grammars Kazakov, Dimitar; Dobnik, Simon In: Oxford University working papers in linguistics, philology and phonetics (Oxford, 2003), 8 ; p. 113-134 MPI für Psycholinguistik Show details 10 Inductive learning of lexical semantics with typed unification grammars Kazakov, Dimitar; Dobnik, Simon In: University of Oxford. Oxford University working papers in linguistics, philology and phonetics. - Oxford : Centre for Linguistics & Philology 8 (2003), 113-133 BLLDB Show details

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