@inproceedings{tatsumi-etal-2010-evaluating,
    title = "Evaluating Semantic Relations and Distances in the Associative Concept Dictionary using {NIRS}-imaging",
    author = "Tatsumi, Nao  and
      Okamoto, Jun  and
      Ishizaki, Shun",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Odijk, Jan  and
      Piperidis, Stelios  and
      Rosner, Mike  and
      Tapias, Daniel",
    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
    month = may,
    year = "2010",
    address = "Valletta, Malta",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/fix-sig-urls/L10-1360/",
    abstract = "In this study, we extracted brain activities related to semantic relations and distances to improve the precision of distance calculation among concepts in the Associated Concept Dictionary (ACD). For the experiments, we used a multi-channel Near-infrared Spectroscopy (NIRS) device to measure the response properties of the changes in hemoglobin concentration during word-concept association tasks. The experiments’ stimuli were selected from pairs of stimulus words and associated words in the ACD and presented in the form of a visual stimulation to the subjects. In our experiments, we obtained subject response data and brain activation data in Broca's area {\textemdash}a human brain region that is active in linguistic/word-concept decision tasks{\textemdash} and these data imply relations with the length of associative distance. This study showed that it was possible to connect brain activities to the semantic relation among concepts, and that it would improve the method for concept distance calculation in order to build a more human-like ontology model."
}