Abstract
It is common that a text document contains information that can be interpreted as instructions to pursue a given task. This information called, pattern, can be seen as the triggering mechanism for a set of predefined operations.We are interested in automating the recognition of these patterns for repetitive tasks. We introduce the notion of template generation which allows for the recognition of new patterns that trigger operations. We implemented an algorithm for template generation and we tested it in an electronic publishing application. The tests show that some characteristics of the processed text can be used to adapt the generation process and obtain templates that provide better precision and recall.
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Boisson, C., Shahmehri, N. (2000). Template Generation for Identifying Text Patterns. In: Raś, Z.W., Ohsuga, S. (eds) Foundations of Intelligent Systems. ISMIS 2000. Lecture Notes in Computer Science(), vol 1932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39963-1_49
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DOI: https://doi.org/10.1007/3-540-39963-1_49
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