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Learning language through pictures
Grzegorz Chrupała
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Ákos Kádár
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Afra Alishahi
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning
Lieke Gelderloos
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Grzegorz Chrupała
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A Visual Attention Grounding Neural Model for Multimodal Machine Translation
Mingyang Zhou
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Runxiang Cheng
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Yong Jae Lee
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Zhou Yu
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Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data
Guanghui Qin
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Jin-Ge Yao
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Xuening Wang
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Jinpeng Wang
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Chin-Yew Lin
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Imagination Improves Multimodal Translation
Desmond Elliott
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Ákos Kádár
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Representation of Linguistic Form and Function in Recurrent Neural Networks
Ákos Kádár
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Grzegorz Chrupała
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Afra Alishahi
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Learning Visually Grounded Sentence Representations
Douwe Kiela
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Alexis Conneau
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Allan Jabri
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Maximilian Nickel
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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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Bridging Languages through Images with Deep Partial Canonical Correlation Analysis
Guy Rotman
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Ivan Vulić
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Roi Reichart
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Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search
Jamie Kiros
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William Chan
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Geoffrey Hinton
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Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval
Sebastian Schuster
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Ranjay Krishna
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Angel Chang
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Li Fei-Fei
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Christopher D. Manning
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No URLs Found
Field Of Study
Linguistic Trends
Distributional Semantics
Embeddings
Syntax
Task
Machine Translation
Paraphrasing
Approach
Deep Learning
Dataset
News
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