Conference article

discoursegraphs: A graph-based merging tool and converter for multilayer annotated corpora

Arne Neumann
Applied Computational Linguistics, SFB 632 / EB Cognitive Science, Universität Potsdam, Germany

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Published in: Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Linköping Electronic Conference Proceedings 109:43, p. 309-312

NEALT Proceedings Series 23:43, p. 309-312

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Published: 2015-05-06

ISBN: 978-91-7519-098-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

discoursegraphs is a Python-based converter for linguistic annotation formats which facilitates the combination of several, heterogeneous layers of annotation of a document into a unified graph representation. The library supports a range of syntax and discourse-related formats and was successfully used to revise and merge a multilayered corpus (Stede and Neumann, 2014).

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