@inProceedings{
 title = {A novel use of statistical parsing to extract information from text},
 type = {inProceedings},
 year = {2000},
 identifiers = {[object Object]},
 pages = {226-233},
 websites = {http://portal.acm.org/citation.cfm?id=974335},
 publisher = {Morgan Kaufmann Publishers Inc.},
 id = {c8a13c63-e1b8-3375-88fe-719f2f3b1408},
 created = {2012-05-10T14:51:03.000Z},
 file_attached = {false},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Miller2000},
 private_publication = {false},
 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.},
 bibtype = {inProceedings},
 author = {Miller, Scott and Fox, Heidi and Ramshaw, Lance and Weischedel, Ralph},
 booktitle = {Syntax And Semantics}
}

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