@inproceedings{bulat-etal-2017-speaking,
    title = "Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain",
    author = "Bulat, Luana  and
      Clark, Stephen  and
      Shutova, Ekaterina",
    editor = "Palmer, Martha  and
      Hwa, Rebecca  and
      Riedel, Sebastian",
    booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/D17-1113/",
    doi = "10.18653/v1/D17-1113",
    pages = "1081--1091",
    abstract = "Research in computational semantics is increasingly guided by our understanding of human semantic processing. However, semantic models are typically studied in the context of natural language processing system performance. In this paper, we present a systematic evaluation and comparison of a range of widely-used, state-of-the-art semantic models in their ability to predict patterns of conceptual representation in the human brain. Our results provide new insights both for the design of computational semantic models and for further research in cognitive neuroscience."
}