Detecting Off-topic Responses to Visual Prompts Detecting Off-topic Responses to Visual Prompts
Paper summary A neural architecture for detecting off-topic written responses, with respect to visual prompts. The text is composed with an LSTM and then used to condition the image representation. The two representations are then compared to calculate a confidence score for the text being written in response to the prompt image. https://i.imgur.com/FIltq46.png
aclanthology.info
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Detecting Off-topic Responses to Visual Prompts
Rei, Marek
Association for Computational Linguistics BEA@EMNLP - 2017 via Local Bibsonomy
Keywords: dblp


Summary by Marek Rei 6 months ago
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