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1
Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue
In: Conference papers (2020)
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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
Abstract: Natural language processing (NLP) can be done using either top-down (theory driven) and bottom-up (data driven) approaches, which we call mechanistic and phenomenological respectively. The approaches are frequently considered to stand in opposition to each other. Examining some recent approaches in deep learning we argue that deep neural networks incorporate both perspectives and, furthermore, that leveraging this aspect of deep learning may help in solving complex problems within language technology, such as modelling language and perception in the domain of spatial cognition. ... : 18 pages, 1 figure, Appears in CLASP Papers in Computational Linguistics Vol. 1: Proceedings of the Conference on Logic and Machine Learning in Natural Language (LaML 2017) ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG; Machine Learning stat.ML; Neural and Evolutionary Computing cs.NE
URL: https://dx.doi.org/10.48550/arxiv.1807.09844
https://arxiv.org/abs/1807.09844
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3
What is not where: the challenge of integrating spatial representations into deep learning architectures ...
Kelleher, John D.; Dobnik, Simon. - : arXiv, 2018
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4
Exploring the Functional and Geometric Bias of Spatial Relations Using Neural Language Models
In: Conference papers (2018)
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5
Back to the Future: Logic and Machine Learning
In: Conference papers (2017)
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6
Towards a Computational Model of Frame of Reference Alignment in Swedish Dialogue
In: Conference papers (2016)
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7
A Model for Attention-Driven Judgements in Type Theory with Records
In: Conference papers (2016)
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8
Learning spatial referential words with mobile robots
In: UK Special Interest Group for Computational Linguistics. Proceedings of the UK Special Interest Group for Computational Linguistics. - [Wechselnde Verlagsorte] 9 (2006), 9-16
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9
Inductive learning of lexical semantics with typed unification grammars
In: Oxford University working papers in linguistics, philology and phonetics (Oxford, 2003), 8 ; p. 113-134
MPI für Psycholinguistik
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10
Inductive learning of lexical semantics with typed unification grammars
In: University of Oxford. Oxford University working papers in linguistics, philology and phonetics. - Oxford : Centre for Linguistics & Philology 8 (2003), 113-133
BLLDB
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