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Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More
Douwe Kiela
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Felix Hill
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Anna Korhonen
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Stephen Clark
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
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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Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics
Douwe Kiela
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Léon Bottou
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Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can’t See What I Mean
Felix Hill
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Anna Korhonen
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Visual Bilingual Lexicon Induction with Transferred ConvNet Features
Douwe Kiela
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Ivan Vulić
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Stephen Clark
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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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Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation
Akira Utsumi
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Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation
Ivan Vulić
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Douwe Kiela
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Anna Korhonen
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Lessons Learned in Multilingual Grounded Language Learning
Ákos Kádár
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Desmond Elliott
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Marc-Alexandre Côté
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Grzegorz Chrupała
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Afra Alishahi
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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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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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Perceptually Grounded Selectional Preferences
Ekaterina Shutova
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Niket Tandon
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Gerard de Melo
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Exploiting Image Generality for Lexical Entailment Detection
Douwe Kiela
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Laura Rimell
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Ivan Vulić
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Stephen Clark
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Grounding Semantics in Olfactory Perception
Douwe Kiela
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Luana Bulat
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Stephen Clark
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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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MMFeat: A Toolkit for Extracting Multi-Modal Features
Douwe Kiela
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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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Learning Translations via Images with a Massively Multilingual Image Dataset
John Hewitt
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Daphne Ippolito
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Brendan Callahan
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Reno Kriz
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Derry Tanti Wijaya
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Chris Callison-Burch
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Multi-Modal Models for Concrete and Abstract Concept Meaning
Felix Hill
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Roi Reichart
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Anna Korhonen
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Deriving Boolean structures from distributional vectors
German Kruszewski
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Denis Paperno
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Marco Baroni
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Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns
Andrew J. Anderson
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Douwe Kiela
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Stephen Clark
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Massimo Poesio
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Semantic Frames and Visual Scenes: Learning Semantic Role Inventories from Image and Video Descriptions
Ekaterina Shutova
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Andreas Wundsam
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Helen Yannakoudakis
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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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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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Cross-linguistic differences and similarities in image descriptions
Emiel van Miltenburg
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Desmond Elliott
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Piek Vossen
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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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http://www.cl.cam.ac.uk/
http://www.vlfeat.org/
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Linguistic Trends
Distributional Semantics
Psycholinguistics
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