Wrapper Pattern

A Wrapper Pattern is a simple contextual Lexically-based Relation Recognition Classifier.

• Context:
  • It can be a part of a Wrapper Pattern Model.
  • It can be produced by a Wrapper Induction Algorithm.
  • It can range from being a High Precision Wrapper Pattern to being a Low Precision Wrapper Pattern.
  • It can range from being a High Recall Wrapper Pattern to being a Low Recall Wrapper Pattern.
  • ...
• See: Relation Mention Recognition Pattern, Relation Mention Extraction Pattern, Lexically-based Relation Mention Recognition Pattern.

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References

2005

• (Etzioni et al., 2005) ⇒ Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, and Alexander Yates. (2005). “Unsupervised Named-Entity Extraction from the Web: An Experimental Study.” In: Artificial Intelligence, 165(1).
  • QUOTE: ... The first wrapper, w1, is learned for the whole HTML document, and matches all 4 keywords; w2 is for the body, and is identical to w1, except for the context; w3 has the same wrapper pattern as w1 and w2, contains all keywords, but has a noticeably different and smaller context (just the single table block); w4 is interesting because here we see an example of overfitting. The suffix is too long and will not extract France. We see a similar problem in w5 where the prefix is too long and will not extract Israel. ...

1998

• (Brin, 1998) ⇒ Sergey Brin. (1998). “Extracting Patterns and Relations from the World Wide Web." In: WebDB Workshop at 6th International Conference on Extending Database Technology, EDBT’98, pages 172–183, Valencia, Spain, 1998.

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