Andrew J. Anderson

Also published as: Andrew Anderson


2017

pdf bib
Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns
Andrew J. Anderson | Douwe Kiela | Stephen Clark | Massimo Poesio
Transactions of the Association for Computational Linguistics, Volume 5

Important advances have recently been made using computational semantic models to decode brain activity patterns associated with concepts; however, this work has almost exclusively focused on concrete nouns. How well these models extend to decoding abstract nouns is largely unknown. We address this question by applying state-of-the-art computational models to decode functional Magnetic Resonance Imaging (fMRI) activity patterns, elicited by participants reading and imagining a diverse set of both concrete and abstract nouns. One of the models we use is linguistic, exploiting the recent word2vec skipgram approach trained on Wikipedia. The second is visually grounded, using deep convolutional neural networks trained on Google Images. Dual coding theory considers concrete concepts to be encoded in the brain both linguistically and visually, and abstract concepts only linguistically. Splitting the fMRI data according to human concreteness ratings, we indeed observe that both models significantly decode the most concrete nouns; however, accuracy is significantly greater using the text-based models for the most abstract nouns. More generally this confirms that current computational models are sufficiently advanced to assist in investigating the representational structure of abstract concepts in the brain.

2013

pdf
Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts
Andrew J. Anderson | Elia Bruni | Ulisse Bordignon | Massimo Poesio | Marco Baroni
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

2012

pdf
On discriminating fMRI representations of abstract WordNet taxonomic categories
Andrew Anderson | Tao Yuan | Brian Murphy | Massimo Poesio
Proceedings of the 3rd Workshop on Cognitive Aspects of the Lexicon