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Representations of language in a model of visually grounded speech signal
Grzegorz Chrupała
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Lieke Gelderloos
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Afra Alishahi
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Revisiting the Hierarchical Multiscale LSTM
Ákos Kádár
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Marc-Alexandre Côté
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Grzegorz Chrupała
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Afra Alishahi
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Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin
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Kris Demuynck
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Joni Dambre
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Wesley De Neve
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Thomas Demeester
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Imagination Improves Multimodal Translation
Desmond Elliott
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Ákos Kádár
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Encoding of phonology in a recurrent neural model of grounded speech
Afra Alishahi
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Marie Barking
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Grzegorz Chrupała
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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Varying image description tasks: spoken versus written descriptions
Emiel van Miltenburg
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Ruud Koolen
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Emiel Krahmer
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Interpretable Textual Neuron Representations for NLP
Nina Poerner
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Benjamin Roth
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Hinrich Schütze
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https://doi.org/10.18653/v1/P17-1057
https://doi.org/10.18653/v1/P17-1057
https://github.com/gchrupala/visually-grounded-
https://doi.org/10.5281/zenodo.400926
https://github.com/pndurette/gTTS
https://doi.org/10.5281/zenodo.400926
https://github.com/ivendrov/order-embedding
https://doi.org/10.5281/zenodo.400926
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
ASR
Word Segmentation
Approach
Unsupervised Learning
Language
Low-Resource Languages
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