Paper: Issues And Methodology For Template Design For Information Extraction

ACL ID H94-1031
Title Issues And Methodology For Template Design For Information Extraction
Venue Human Language Technologies
Session Main Conference
Year 1994
Authors

The goal of Information Extraction tasks is to identify, categorize, classify, relate, and normalize specific information of interest found in free text, and to make that information available to a back-end data base, data fusion, or other application. A data struc- ture referred to as a template is typically used for capturing such information, particularly in cases where the amount and complex- ity of information is substantial. The design of the template for such/m application (or exercise) thus defines the task itself and therefore crucially affects the success of the Information Extrac- tion attempt. This paper discusses template structure and methodological issues which arise in the template design process, within the context of a discussion of the design process itself; this paper i...