DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data

Daxenberger, Johannes; Ferschke, Oliver; Gurevych, Iryna; Zesch, Torsten

doi:10.3115/v1/P14-5011

Tagungsbeitrag 2014 CC BY-NC-SA 3.0

Veröffentlicht

DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data

Daxenberger, Johannes ; Ferschke, Oliver ; Gurevych, Iryna ; Zesch, Torsten

We present DKPro TC, a framework for supervised learning experiments on textual data. The main goal of DKPro TC is to enable researchers to focus on the actual research task behind the learning problem and let the framework handle the rest. It enables rapid prototyping of experiments by relying on an easy-to-use workflow engine and standardized document preprocessing based on the Apache Unstructured Information Management Architecture (Ferrucci and Lally, 2004). It ships with standard feature extraction modules, while at the same time allowing the user to add customized extractors. The extensive reporting and logging facilities make DKPro TC experiments fully replicable.

Vorschau

Einordnung

Konferenz:: ACL 2014, 52nd Annual Meeting of the Association for Computational Linguistics, June 23-24, 2014 Baltimore, Maryland, USA
Datum der Veröffentlichung:: 2014
URN:: urn:nbn:de:hbz:464-20211026-130458-0
DOI:: 10.3115/v1/P14-5011
Sprache:: Englisch
Ressourcentyp:: Text
Kollektion:: E-Publikationen
Sachgruppen der Deutschen Nationalbibliographie:: 004 Informatik
Einrichtung:: Fakultät für Ingenieurwissenschaften, Informatik und Angewandte Kognitionswissenschaft, Informatik, Sprachtechnologie
Informationen zur Erstveröffentlichung:: Daxenberger, J., Ferschke, O., Gurevych, I., Zesch, T. (2014). DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 61-66. Association for Computational Linguistics. https://doi.org/10.3115/v1/P14-5011