@article{
 title = {Automatic Labeling of Semantic Roles},
 type = {article},
 year = {2002},
 identifiers = {[object Object]},
 pages = {245-288},
 volume = {28},
 websites = {http://www.mitpressjournals.org/doi/abs/10.1162/089120102760275983},
 publisher = {MIT Press},
 id = {1a6d1f62-e18c-361e-ad7b-7d7fc61dcf52},
 created = {2011-02-27T18:33:21.000Z},
 file_attached = {true},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
 tags = {semantic relations},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Gildea2002},
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 abstract = {We present a system for identifying the semantic relationships, or semantic roles, filled by constituents of a sentence within a semantic frame. Various lexical and syntactic features are derived from parse trees and used to derive statistical classifiers from hand-annotated training data. 1},
 bibtype = {article},
 author = {Gildea, Daniel and Jurafsky, Daniel},
 journal = {Computational Linguistics},
 number = {3}
}

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