A novel use of statistical parsing to extract information from text

Authors:
Scott Miller;Heidi Fox;Lance Ramshaw;Ralph Weischedel
Affiliations:
BBN Technologies, Cambridge, MA;BBN Technologies, Cambridge, MA;BBN Technologies, Cambridge, MA;BBN Technologies, Cambridge, MA
Venue:
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Year:
2000

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Abstract

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.