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@article{
 title = {Predicate-Argument EXtractor (PAX)},
 type = {article},
 pages = {51},
 websites = {http://www.l3s.de/web/upload/documents/1/lrec2010-pax.pdf},
 id = {97525afa-48e8-3587-b76d-7159d47b6be8},
 created = {2010-06-04T14:18:53.000Z},
 accessed = {2010-09-25},
 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},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {In this paper, we describe the open source GATE component PAX for extracting predicate-argument structures (PASs). PASs are used in various contexts to represent relations within a sentence structure. Different “semantic” parsers extract relational information from sentences but there exists no common format to store this information. Our predicate-argument extractor component (PAX) takes the annotations generated by selected parsers and transforms the parsers’ results to predicate-argument structures represented as triples (subject-verb-object). This allows downstream components in an analysis pipeline to process PAS triples independent of the deployed parser, as well as combine the results from several parsers within a single pipeline.},
 bibtype = {article},
 author = {Krestel, Ralf and Witte, R. and Bergler, Sabine},
 journal = {New Challenges For NLP Frameworks Programme}
}