TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Gurevych, Iryna
A1  - Müller, Mark-Christoph
T1  - Information extraction with the Darmstadt Knowledge Processing Software Repository (Extended Abstract)
T2  - Proceedings of the Workshop on Linguistic Processing Pipelines. Darmstadt, July 2008
N2  - Current Natural Language Processing (NLP) systems feature high-complexity processing pipelines that require the use of components at different levels of linguistic and application specific processing. These components often have to interface with external e.g. machine learning and information retrieval libraries as well as tools for human annotation and visualization. At the UKP Lab, we are working on the Darmstadt Knowledge Processing Software Repository (DKPro) (Gurevych et al., 2007a; Müller et al., 2008) to create a highly flexible, scalable and easy-to-use toolkit that allows rapid creation of complex NLP pipelines for semantic information processing on demand. The DKPro repository consists of several main parts created to serve the purposes of different NLP application areas
KW  - Information Extraction
KW  - Automatische Sprachanalyse
KW  - Maschinelles Lernen
KW  - Information Retrieval
KW  - Annotation
KW  - Informationsverarbeitung
KW  - Text Mining
KW  - Darmstadt Knowledge Processing Software Repository
KW  - processing pipeline
KW  - NLP pipeline
Y1  - 2008
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-111666
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-111666
UR  - https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publikationen/UKP/InformationExtractionWithDKPro.pdf
SP  - 2
S1  - 2
ER  -