Title:
Extracting-Relations-from-WWW
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Description: The WWW is a vast resource for information.
At the same time it is extremely distributed. A particular type of data such as restaurant lists may b e scattered across thousands of independent
information sources in many different formats. In this paper, we consider the problem of extracting a relation for such a data type from all of these sources automatically.We present a technique which exploits the duality between sets of patterns and relations to grow the target relation starting
from a small sample. To test our technique we use it to extract a relation
of (author,title) pairs from the WWW.
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