• DocumentCode
    629642
  • Title

    Toward understanding analogical mapping and ideological cataloguing in the brain: Poster paper

  • Author

    Howard, Newton

  • Author_Institution
    Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    29-31 May 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    The ensemble application of the mind-state indicator (MSI) and intention awareness (IA) methodologies in linguistic metaphors offers insights on how the brain finds meaning in abstract expressions. In particular, IA and MSI are jointly exploited to provide concepts for sentic computing that can catalogue and analogically map ideas similar to that of the human brain. Since metaphors convey similarities, using analogical metaphors yields sources and targets from which conceptual meanings can be derived. Sources relate to external experiences, while targets relate to mood states, or states of mind. Understanding such states of mind is crucial in identifying, examining, and mapping phrases. While targets reflect state of mind, IA is the key to the individual´s actual state of mind. Computing metaphor targets and target moods and filtering semantic and sentic patterns of metaphors based on IA make it possible to associate a target with a source and, hence, perform analogically mapping.
  • Keywords
    computational linguistics; natural language processing; neural nets; MSI; abstract expression; analogical mapping; analogical metaphor; conceptual meaning; human brain; ideological cataloguing; intention awareness method; linguistic metaphor; mind-state indicator; mood state; phrase examination; phrase identification; phrase mapping; semantic pattern filtering; sentic computing; sentic pattern filtering; state of mind; target mood; Abstracts; Cognition; Context; Mood; Pragmatics; Semantics; intention awareness; metaphor understanding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Information Science (RCIS), 2013 IEEE Seventh International Conference on
  • Conference_Location
    Paris
  • ISSN
    2151-1349
  • Print_ISBN
    978-1-4673-2912-5
  • Type

    conf

  • DOI
    10.1109/RCIS.2013.6577738
  • Filename
    6577738