@article{
 title = {Integrated Annotation for Biomedical Information Extraction},
 type = {article},
 year = {2004},
 pages = {61-68},
 id = {fee7a9ce-ea90-31f4-9ef2-22a9cf9838e5},
 created = {2011-12-29T19:53:53.000Z},
 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 = {Kulick2004},
 private_publication = {false},
 abstract = {We describe an approach to two areas of biomedical information extraction, drug devel- opment and cancer genomics. We have devel- oped a framework which includes corpus anno- tation integrated at multiple levels: a Treebank containing syntactic structure, a Propbank con- taining predicate-argument structure, and an- notation of entities and relations among the en- tities. Crucial to this approach is the proper characterization of entities as relation compo- nents, which allows the integration of the entity annotation with the syntactic structure while retaining the capacity to annotate and extract more complex events. We are training statis- tical taggers using this annotation for such ex- traction as well as using them for improving the annotation process.},
 bibtype = {article},
 author = {Kulick, Seth and Bies, Ann and Liberman, Mark and Mandel, Mark and Mcdonald, Ryan and Palmer, Martha and Schein, Andrew and Ungar, Lyle and Winters, Scott and White, Pete},
 journal = {Production}
}

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