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Towards a flexible model of word meaning
Number of Authors: 1
2002 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We would like to build a model of semantic knowledge that have the capacity to acquire and represent semantic information that is ambiguous, vague and incomplete. Furthermore, the model should be able to acquire this knowledge in an unsupervised fashion from unstructured text data. Such a model needs to be both highly adaptive and very robust. In this submission, we will first try to identify some fundamental principles that a flexible model of word meaning must adhere to, and then present a possible implementation of these principles in a technique we call Random Indexing. We will also discuss current limitations of the technique and set the direction for future research.

Place, publisher, year, edition, pages
2002, 1.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-22536OAI: oai:DiVA.org:ri-22536DiVA: diva2:1042101
Conference
AAAI Spring Symposium 2002
Available from: 2016-10-31 Created: 2016-10-31Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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