Extracting Information from Short Messages

نویسندگان

  • Richard Cooper
  • Sajjad Ali
  • Chenlan Bi
چکیده

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.

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تاریخ انتشار 2005