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Selecting Corpus-Semantic Models for Neurolinguistic Decoding
Brian Murphy
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Partha Talukdar
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Tom Mitchell
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Paper Details:
Month: 7-8 June
Year: 2012
Location: Montréal, Canada
Venue:
*SEMEVAL |
Citations
URL
Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts
Andrew J. Anderson
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Elia Bruni
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Ulisse Bordignon
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Massimo Poesio
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Marco Baroni
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Distributional vectors encode referential attributes
Abhijeet Gupta
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Gemma Boleda
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Marco Baroni
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Sebastian Padó
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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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Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning
Alona Fyshe
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Partha P. Talukdar
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Brian Murphy
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Tom M. Mitchell
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How to make words with vectors: Phrase generation in distributional semantics
Georgiana Dinu
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Marco Baroni
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A Large Scale Evaluation of Distributional Semantic Models: Parameters, Interactions and Model Selection
Gabriella Lapesa
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Stefan Evert
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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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Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
Alona Fyshe
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Brian Murphy
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Partha Talukdar
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Tom Mitchell
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Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity
Samira Abnar
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Rasyan Ahmed
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Max Mijnheer
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Willem Zuidema
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Predicting Brain Activation with WordNet Embeddings
João António Rodrigues
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Ruben Branco
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João Silva
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Chakaveh Saedi
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António Branco
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http://www.cs.cmu.edu/afs/cs/project/theo-
Field Of Study
Linguistic Trends
Ontologies
Neurolinguistics
Task
Tagging
Language
English
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