7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      From Frequency to Meaning: Vector Space Models of Semantics

      ,
      Journal of Artificial Intelligence Research
      AI Access Foundation

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Computers understand very little of the meaning of human language. This profoundly limits our ability to give instructions to computers, the ability of computers to explain their actions to us, and the ability of computers to analyse and process text. Vector space models (VSMs) of semantics are beginning to address these limits. This paper surveys the use of VSMs for semantic processing of text. We organize the literature on VSMs according to the structure of the matrix in a VSM. There are currently three broad classes of VSMs, based on term-document, word-context, and pair-pattern matrices, yielding three classes of applications. We survey a broad range of applications in these three categories and we take a detailed look at a specific open source project in each category. Our goal in this survey is to show the breadth of applications of VSMs for semantics, to provide a new perspective on VSMs for those who are already familiar with the area, and to provide pointers into the literature for those who are less familiar with the field.

          Related collections

          Author and article information

          Journal
          Journal of Artificial Intelligence Research
          jair
          AI Access Foundation
          1076-9757
          January 01 2010
          February 27 2010
          : 37
          : 141-188
          Article
          10.1613/jair.2934
          27138012
          75c1a2ad-8b5e-475e-8627-8c6e25fc4de1
          © 2010
          History

          Comments

          Comment on this article