Extracting Information from Short Messages

  • Richard Cooper
  • Sajjad Ali
  • Chenlan Bi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3513)


Much currently transmitted information takes the form of e-mails or SMS text messages and so extracting information from such short messages is increasingly important. The words in a message can be partitioned into the syntactic structure, terms from the domain of discourse and the data being transmitted. This paper describes a light-weight Information Extraction component which uses pattern matching to separate the three aspects: the structure is supplied as a template; domain terms are the metadata of a data source (or their synonyms), and data is extracted as those words matching placeholders in the templates.


Pattern Match Entity Type Sentence Structure Short Message Natural Language Semantic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Richard Cooper
    • 1
  • Sajjad Ali
    • 1
  • Chenlan Bi
    • 1
  1. 1.Computing ScienceUniversity of GlasgowGlasgow

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