Paper: EEG responds to conceptual stimuli and corpus semantics

ACL ID D09-1065
Title EEG responds to conceptual stimuli and corpus semantics
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful technique for evaluating conceptual models extracted from corpora; however, fMRI is expensive and imposes strong constraints on data collection. Following on experiments that demonstrated that EEG activation patterns encode enough information to discriminate broad conceptual categories, we show that corpus-based semantic rep- resentations can predict EEG activation patterns with significant accuracy, and we evaluate the relative performance of different corpus-models on this task.