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BNCOD
2007

Extracting Temporal Information from Short Messages

11 years 7 months ago
Extracting Temporal Information from Short Messages
Abstract. Information Extraction, the process of eliciting data from natural language documents, usually relies on the ability to parse the document and then to detect the meaning of the sentences by exploiting the syntactic structures encountered. In previous papers, we have discussed an application to extract information from short (e-mail and text) messages which takes an alternative approach. The application is lightweight and uses pattern matching rather than parsing, since parsing is not feasible for messages in which both the syntax and the spelling are unreliable. The application works in the context of a high level database schema and identifies sentences which make statements about data describable by this schema. The application matches sentences with templates to identify metadata terms and the data values associated with them. However, the initial prototype could only manage simple, time independent assertions about the data, such as "Jane Austen is the author." ...
Richard Cooper, Sinclair Manson
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where BNCOD
Authors Richard Cooper, Sinclair Manson
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