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code for EMNLP2018 paper 'Associative-multichannel-autoencoder for multimodal word representation'

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wangshaonan/Associative-multichannel-autoencoder

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The code is for paper 'Associative Multichannel Autoencoder for Multimodal Word Representation'

AE.py is basic multichannel autoencoder model
AE_brain.py is associative multichannel autoencoder model
AE_brain_weight_val.py is associative multichannel autoencoder model with different value weight for each input modality
AE_brain_weight_vec.py is associative multichannel autoencoder model with different vector weight for each input modality

tune_*.sh is training and evaluation script

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code for EMNLP2018 paper 'Associative-multichannel-autoencoder for multimodal word representation'

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