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We discuss a key problem in information extraction which deals with wrapperfailures due to changing content templates. A good proportion of wrapperfailures are due to HTML templates changing to cause wrappers to becomeincompatible after element inclusion or removal in a DOM (Tree representationof HTML). We perform a large-scale empirical analyses of the causes of shiftand mathematically quantify the levels of domain difficulty based on entropy.We propose the XTreePath annotation method to captures contextual nodeinformation from the training DOM. We then utilize this annotation in asupervised manner at test time with our proposed Recursive Tree Matching methodwhich locates nodes most similar in context recursively using the tree editdistance. The search is based on a heuristic function that takes into accountthe similarity of a tree compared to the structure that was present in thetraining data. We evaluate XTreePath using 117,422 pages from 75 diversewebsites in 8 vertical markets. Our XTreePath method consistently outperformsXPath and a current commercial system in terms of successful extractions in ablackbox test. We make our code and datasets publicly available online.

XTreePath: A generalization of XPath to handle real world structural variation