University of Manitoba
Dekang Lin · 1995
The PIE (Principar-driven Information Extraction) system takes a different approach to the problem of information extraction from the NUBA system that was used in MUC-5. The NUBA system did not have a parser and relies on an abductive reasoner to construct the semantic relationships between domain specific concepts mentioned in a sentence. The PIE system, on the other hand, relies heavily on a principle-based broad-coverage parser, called PRINCIPAR [2, 6, 8], that we have developed over the past three years. Most of the information extracted are directly "read-off" the parser outputs by a subtree pattern-matcher, bypassing the usual step of constructing semantic representations.