@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} }