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Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics
Douwe Kiela
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Anita Lilla Verő
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Stephen Clark
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Multimodal Grounding for Language Processing
Lisa Beinborn
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Teresa Botschen
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Iryna Gurevych
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Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain
Luana Bulat
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Stephen Clark
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Ekaterina Shutova
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Imagination Improves Multimodal Translation
Desmond Elliott
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Ákos Kádár
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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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Complex Verbs are Different: Exploring the Visual Modality in Multi-Modal Models to Predict Compositionality
Maximilian Köper
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Sabine Schulte im Walde
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If Sentences Could See: Investigating Visual Information for Semantic Textual Similarity
Goran Glavaš
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Ivan Vulić
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Simone Paolo Ponzetto
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Incorporating visual features into word embeddings: A bimodal autoencoder-based approach
Mika Hasegawa
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Tetsunori Kobayashi
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Yoshihiko Hayashi
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Limitations of Cross-Lingual Learning from Image Search
Mareike Hartmann
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Anders Søgaard
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https://github.com/douwekiela/mmfeat
https://images.google.com/
https://www.bing.com/images
https://www.flickr.com
Field Of Study
Linguistic Trends
Distributional Semantics
Embeddings
Task
Semantic Similarity
Information Retrieval
Approach
Representation Learning
Language
Multilingual
English
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