A Novel Use of Statistical Parsing to Extract Information from Text

Since 1995, a few statistical parsing algorithms have demonstrated a breakthrough in parsing accuracy, as measured against the UPenn TREEBANK as a gold standard. In this paper we report adapting a lexicalized, probabilistic context-free parser to information extraction and evaluate this new technique on MUC-7 template elements and template relations.

• Type: Conference
• Year: 2000
• Where: ANLP
• Authors: Scott Miller, Heidi Fox, Lance A. Ramshaw, Ralph M. Weischedel
• Keywords: ANLP 2000, MUC-7 Template Elements, Probabilistic Context-free Parser, Statistical Parsing Algorithms