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RapidMiner Information Extraction Plugin


Nowadays more and more information is available spread all over the internet or other huge document collections.
The information is present on websites (containing pure text on the one hand and html-code on the other hand), in documents -- pdf-documents for instance --, or in log-files and so on.
To process this (daily growing) huge amount of information manually is impossible.

Therefore IE-techniques are used for the automatic identification of selected types of entities, relations, or events in free text.
While some IE-systems process IE-tasks like for instance Named Entity Recognition (NER) in a somehow black-boxed way, we present a very modular system, which can easily be adjusted and extended for already known or new tasks.



Software File:


Jungermann, Felix


Jungermann/2009a Jungermann, Felix. Information Extraction with RapidMiner. In Wolfgang Hoeppner (editors), Proceedings of the GSCL Symposium 'Sprachtechnologie und eHumanities', pages 50-61, Universität Duisburg-Essen, Abteilung für Informatik und Angewandte Kognitionswissenschaft Fakultät für Ingenieurwissenschaften, 2009.

Jungermann/2010a Jungermann, Felix. An Information Extraction Plugin for RapidMiner 5. In Proceedings of the RapidMiner Community Meeting And Conference (RCOMM 2010), pages 67 -- 72, 2010.

Jungermann/2011a Jungermann, Felix. Handling Tree-Structured Values in RapidMiner. In Proceedings of the 2nd RapidMiner Community Meeting and Conference (RCOMM 2011), pages 151 -- 162, 2011.

Jungermann/2011b Jungermann, Felix. Tree Kernel Usage in Naive Bayes Classifiers. In Proceedings of the LWA 2011, 2011.

Jungermann/2011c Jungermann, Felix. Documentation of the Information Extraction Plugin for RapidMiner. 2011.