DKIE: Open Source Information Extraction for Danish
Leon Derczynski, Camilla Vilhelmsen Field, Kenneth S. Bøgh · 2014
Danish is a major Scandinavian language spoken daily by around six million people.However, it lacks a unified, open set of NLP tools.This demonstration will introduce DKIE, an extensible open-source toolkit for processing Danish text.We implement an information extraction architecture for Danish within GATE, including integrated third-party tools.This implementation includes the creation of a substantial set of corpus annotations for dataintensive named entity recognition.The final application and dataset is made are openly available, and the part-of-speech tagger and NER model also operate independently or with the Stanford NLP toolkit.