Abstract
The brain is the locus of our language ability, and so brain images can be used to ground linguistic theories. Here we introduce BrainBench, a lightweight system for testing distributional models of word semantics. We compare the performance of several models, and show that the performance on brain-image tasks differs from the performance on behavioral tasks. We release our benchmark test as part of a web service.
Cite
CITATION STYLE
Xu, H., Murphy, B., & Fyshe, A. (2016). BrainBench: A brain-image test suite for distributional semantic models. In EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings (pp. 2017–2021). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d16-1213
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