<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>8113</REFNUM><AUTHORS><AUTHOR>Cooper,R.L.</AUTHOR></AUTHORS><YEAR>2005</YEAR><TITLE>Extracting Data from Short Messages</TITLE><PLACE_PUBLISHED>Natural Language Processing and Information Systems, LNCS 3513</PLACE_PUBLISHED><PUBLISHER>LNCS, Springer</PUBLISHER><PAGES>388-391</PAGES><ISBN>3-540-26031-5</ISBN><LABEL>Cooper:2005:8113</LABEL><KEYWORDS><KEYWORD>"Information Extraction" "Text Mining" E-mail "SMS Text"</KEYWORD></KEYWORDS<ABSTRACT>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.</ABSTRACT></RECORD></RECORDS></XML>