SemDaX corpus – University of Copenhagen

The SemDaX Corpus

We launch the SemDaX corpus ( which is a recently completed Danish human-annotated corpus relying on the combined wordnet and dictionary resources: DanNet and Den Danske Ordbog, and available through a CLARIN academic license. The corpus includes approx. 90,000 words, comprises six textual domains, and is annotated with sense inventories of different granularity.

The aim of the developed corpus is twofold: i) to assess the reliability of the different sense annotation schemes for Danish measured by qualitative analyses and annotation agreement scores, and ii) to serve as training and test data for machine learning algorithms with the practical purpose of developing sense taggers for Danish.

To these aims, we take a new approach to human-annotated corpus resources by double annotating a much larger part of the corpus than what is normally seen: for the all-words task we double annotated 60% of the material and for the lexical sample task 100%. We include in the corpus not only the curated files, but also the diverging annotations. In other words, we consider not all disagreement to be noise, but rather to contain valuable linguistic information that can help us improve our annotation schemes and our learning algorithms.

The methodological considerations behind the corpus are presented in: Bolette S. Pedersen, Anna Braasch, Anders Johanssen, Hector Martinez Alonso, Sanni Nimb, Sussi Olsen, Anders Søgaard, Nicolai Hartvig Sørensen (under review for LREC 2016): The SemDaX corpus – sense annotations with scalable sense inventories.