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	title        = {ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering},
	abstract     = {We present ImageTTR, an extension to the Python implementation of Type Theory with Records (pyTTR) which connects formal record type representation with image classifiers implemented as deep neural networks. The Type Theory with Records framework serves as a knowledge representation system for natural language the representations of which are grounded in perceptual information of neural networks. We demonstrate the benefits of this symbolic and data-driven hybrid approach on the task of visual question answering.},
	booktitle    = {Proceedings of the IWCS 2019 Workshop on Computing Semantics with Types, Frames and Related Structures, May 24, 2019, Gothenburg, Sweden / Rainer Osswald, Christian Retoré, Peter Sutton (Editors)},
	author       = {Matsson, Arild and Dobnik, Simon and Larsson, Staffan},
	year         = {2019},
	publisher    = {Association for Computational Linguistics},
	address      = {Stroudsburg, PA },
	ISBN         = {978-1-950737-25-3},