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1
Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks
Paula, F.; Wilkens, R.; Idiart, M.. - : Association for Computational Linguistics, 2018
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2
Defoiling foiled image captions
Madhyastha, P.; Wang, J.K.; Specia, L.. - : Association for Computational Linguistics (ACL), 2018
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3
Object counts! Bringing explicit detections back into image captioning
Wang, J.K.; Madhyastha, P.; Specia, L.. - : Association for Computational Linguistics (ACL), 2018
Abstract: The use of explicit object detectors as an intermediate step to image captioning – which used to constitute an essential stage in early work – is often bypassed in the currently dominant end-to-end approaches, where the language model is conditioned directly on a midlevel image embedding. We argue that explicit detections provide rich semantic information, and can thus be used as an interpretable representation to better understand why end-to-end image captioning systems work well. We provide an in-depth analysis of end-to-end image captioning by exploring a variety of cues that can be derived from such object detections. Our study reveals that end-to-end image captioning systems rely on matching image representations to generate captions, and that encoding the frequency, size and position of objects are complementary and all play a role in forming a good image representation. It also reveals that different object categories contribute in different ways towards image captioning.
URL: http://eprints.whiterose.ac.uk/129790/8/N18-1198.pdf
https://www.aclweb.org/anthology/N18-1198
http://eprints.whiterose.ac.uk/129790/
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