Summary of the paper

Title Evaluating Semantic Relations and Distances in the Associative Concept Dictionary using NIRS-imaging
Authors Nao Tatsumi, Jun Okamoto and Shun Ishizaki
Abstract In this study, we extracted brain activities related to semantic relations anddistances to improve the precision of distance calculation among concepts inthe Associated Concept Dictionary (ACD). For the experiments, we used amulti-channel Near-infrared Spectroscopy (NIRS) device to measure the responseproperties of the changes in hemoglobin concentration during word-conceptassociation tasks. The experiments’ stimuli were selected from pairs ofstimulus words and associated words in the ACD and presented in the form of avisual stimulation to the subjects. In our experiments, we obtained subjectresponse data and brain activation data in Broca's area ―a human brainregion that is active in linguistic/word-concept decision tasks― and thesedata imply relations with the length of associative distance. This study showedthat it was possible to connect brain activities to the semantic relation amongconcepts, and that it would improve the method for concept distance calculationin order to build a more human-like ontology model.
Language Validation of LRs
Topics Ontologies, Cognitive methods, Validation of LRs
Full paper Evaluating Semantic Relations and Distances in the Associative Concept Dictionary using NIRS-imaging
Bibtex @InProceedings{TATSUMI10.521,
  author = {Nao Tatsumi, Jun Okamoto and Shun Ishizaki},
  title = {Evaluating Semantic Relations and Distances in the Associative Concept Dictionary using NIRS-imaging},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
Powered by ELDA © 2010 ELDA/ELRA