Last Tuesday Svanhvít and Ásmundur completed the first stage in Named Entity Recognition project for Icelandic. They finished the daunting task of labeling all named entities in a text corpus of 1 million tokens (MIM-GOLD), into the following categories: Person, Location, Organization, Micellaneous, Money, Percent, Time, and Date.
To assist with the task, they first preprocessed the corpus using regular expressions to catch some cases and then verified and completed the labeling using the brat rapid annotation tool. Their next task will be to create a few baseline NER tagging systems using the labelled dataset.
The dataset will be publicly available this spring.