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Combining Language and Vision with a Multimodal Skip-gram Model
Angeliki Lazaridou
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Nghia The Pham
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Marco Baroni
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
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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Multimodal Grounding for Language Processing
Lisa Beinborn
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Teresa Botschen
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Iryna Gurevych
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Do You See What I Mean? Visual Resolution of Linguistic Ambiguities
Yevgeni Berzak
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Andrei Barbu
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Daniel Harari
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Boris Katz
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Shimon Ullman
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Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception
Douwe Kiela
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Stephen Clark
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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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Deriving continous grounded meaning representations from referentially structured multimodal contexts
Sina Zarrieß
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David Schlangen
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Associative Multichannel Autoencoder for Multimodal Word Representation
Shaonan Wang
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Jiajun Zhang
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Chengqing Zong
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A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images
Melissa Ailem
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Bowen Zhang
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Aurelien Bellet
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Pascal Denis
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Fei Sha
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Multimodal Semantic Learning from Child-Directed Input
Angeliki Lazaridou
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Grzegorz Chrupała
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Raquel Fernández
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Marco Baroni
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Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets
Jack Hessel
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David Mimno
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Lillian Lee
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A Multitask Objective to Inject Lexical Contrast into Distributional Semantics
Nghia The Pham
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Angeliki Lazaridou
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Marco Baroni
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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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Learning Prototypical Event Structure from Photo Albums
Antoine Bosselut
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Jianfu Chen
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David Warren
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Hannaneh Hajishirzi
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Yejin Choi
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Multi-Modal Representations for Improved Bilingual Lexicon Learning
Ivan Vulić
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Douwe Kiela
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Stephen Clark
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Marie-Francine Moens
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Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks
Suzushi Tomori
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Takashi Ninomiya
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Shinsuke Mori
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Cross-Lingual Word Representations via Spectral Graph Embeddings
Takamasa Oshikiri
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Kazuki Fukui
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Hidetoshi Shimodaira
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Improving Distributed Representations of Tweets - Present and Future
Ganesh Jawahar
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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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Distributional Semantics in Use
Raffaella Bernardi
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Gemma Boleda
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Raquel Fernández
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Denis Paperno
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Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis
Angeliki Lazaridou
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Dat Tien Nguyen
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Marco Baroni
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“Look, some Green Circles!”: Learning to Quantify from Images
Ionut Sorodoc
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Angeliki Lazaridou
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Gemma Boleda
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Aurélie Herbelot
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Sandro Pezzelle
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Raffaella Bernardi
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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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Spectral Graph-Based Method of Multimodal Word Embedding
Kazuki Fukui
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Takamasa Oshikiri
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Hidetoshi Shimodaira
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Are Distributional Representations Ready for the Real World? Evaluating Word Vectors for Grounded Perceptual Meaning
Lucy Li
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Jon Gauthier
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Living a discrete life in a continuous world: Reference in cross-modal entity tracking
Gemma Boleda
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Sebastian Padó
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Nghia The Pham
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Marco Baroni
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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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http://wacky.sslmit.unibo.it
http://mattmahoney.net/dc/textdata.html
http://www.crowdflower.com
http://www.cl.cam.ac.uk/
http://arxiv.org/abs/arXiv:1408.3456
http://www.dlworkshop.org/
Field Of Study
Linguistic Trends
Distributional Semantics
Embeddings
Approach
Deep Learning
Representation Learning
Language
English
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