Enhancing Recall in Information Extraction through Ontological Semantics

We proceed from the assumption that extracting and representing the meanings of texts that serve as sources for information extraction will enhance the latter’s quality. In particular, we believe that resolving reference in these texts will lead to higher levels of recall in IE because additional information will become available for extraction once it can be captured not simply by matching character strings in the IE template but by knowing that George W. Bush, President Bush, the current president of the US, the leader of the free world, and the winner of the 2000 National election all refer to the same entity and, therefore, whatever information in the text is introduced by any of the above (and other reference means, notably, pronominalization and ellipsis) is relevant.