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A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities
Stephen Roller
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Sabine Schulte im Walde
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
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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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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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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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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Distributional Modeling on a Diet: One-shot Word Learning from Text Only
Su Wang
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Stephen Roller
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Katrin Erk
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Black Holes and White Rabbits: Metaphor Identification with Visual Features
Ekaterina Shutova
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Douwe Kiela
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Jean Maillard
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Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps
Luana Bulat
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Douwe Kiela
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Stephen Clark
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Learning Grounded Meaning Representations with Autoencoders
Carina Silberer
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Mirella Lapata
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Concreteness and Subjectivity as Dimensions of Lexical Meaning
Felix Hill
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Anna Korhonen
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Distributed Representations of Geographically Situated Language
David Bamman
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Chris Dyer
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Noah A. Smith
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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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Perceptually Grounded Selectional Preferences
Ekaterina Shutova
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Niket Tandon
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Gerard de Melo
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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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Bilingual Word Embeddings from Non-Parallel Document-Aligned Data Applied to Bilingual Lexicon Induction
Ivan Vulić
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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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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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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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Feature Norms of German Noun Compounds
Stephen Roller
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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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Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell
Pia Sommerauer
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Antske Fokkens
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http://stephenroller.com/research/
http://simplecv.org
Field Of Study
Language
English
Dataset
Twitter
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