5/18/2023 0 Comments Download oxygen xml editor![]() The problems were caused by the exponential growth of the number of negative examples, with the tuples arity. The experimental analysis performed in also revealed some difficulties of learning triples (feature class, feature name, feature value) in a straightforward way. One can easily notice that these patterns are already in normal form. ![]() The wrappers are ( F C = feature class, F N = feature name, F V = feature value): Figure 2 illustrates the two patterns corresponding to the clauses shown above and the pattern resulted from their merging. In we presented two single-clause L-wrappers for this example that were learnt using FOIL program (): i) for pairs (feature class, feature name) ii) for pairs (feature name, feature value), together with figures of the precision and recall performance measures. Some triples may have identical feature classes. So actually this table contains triples (feature class, feature name, feature value). This row has the feature class ’Print qual- ity/technology’. For example, there is a row with the feature name ’Print technology’ and the feature value ’HP Thermal Inkjet’. Consecutive rows represent related features that are grouped into feature classes. Each row contains a pair (feature name, feature value). The printer information is represented in multi-section two column HTML tables (see figure 1). the mapping of L-wrappers to XSLT and wrapper execution. In this section we are focusing on the last two stages of this process: wrapping compilation, i.e. There, we also proposed a generic process for information extraction from the Web that consists of the following stages: page collection, pre-processing, manual information extraction, conversion to the input format of the learning program, learning, wrapper compilation, wrapper execution. ![]() ![]() In we considered learning L-wrappers for extracting printer information from Hewlett Packard’s Web site, using general-purpose ILP. tuples extracted by each pattern p i, 1 ≤ i ≤ n, i.e. ![]()
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