@inproceedings{aguirre-celis-miikkulainen-2020-characterizing,
    title = "Characterizing Dynamic Word Meaning Representations in the Brain",
    author = "Aguirre-Celis, Nora  and
      Miikkulainen, Risto",
    editor = "Zock, Michael  and
      Chersoni, Emmanuele  and
      Lenci, Alessandro  and
      Santus, Enrico",
    booktitle = "Proceedings of the Workshop on the Cognitive Aspects of the Lexicon",
    month = dec,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.cogalex-1.15/",
    pages = "117--128",
    abstract = "During sentence comprehension, humans adjust word meanings according to the combination of the concepts that occur in the sentence. This paper presents a neural network model called CEREBRA (Context-dEpendent meaning REpresentation in the BRAin) that demonstrates this process based on fMRI sentence patterns and the Concept Attribute Rep-resentation (CAR) theory. In several experiments, CEREBRA is used to quantify conceptual combination effect and demonstrate that it matters to humans. Such context-based representations could be used in future natural language processing systems allowing them to mirror human performance more accurately."
}