Extracting information from short messages

Authors:
Richard Cooper;Sajjad Ali;Chenlan Bi
Affiliations:
Computing Science, University of Glasgow, Glasgow;Computing Science, University of Glasgow, Glasgow;Computing Science, University of Glasgow, Glasgow
Venue:
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Year:
2005

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Pattern Recognition Letters

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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.