| 摘要 |
<p>Wrappers are induced for multiple domains where, for a given target string having relatively universal distribution across domains of interest, a first wrapper may be defined and trained for a particular domain. Target strings extracted from that domain may be used to search for documents in other domains. New wrappers may be learned for other domains also containing the target strings. Further, a first wrapper may be learned for a given domain using a limited amount of training data from that single domain. The first wrapper is then applied to all pages in the domain to extract the relevant information. A few of the new words extracted are then searched against the document collection to obtain a list of domains that contain the extracted words. The updated information may be used as training data to learn new wrappers on those domains.</p> |
