no code implementations • LREC 2020 • Br, Alex sen, Suzan Verberne, Milco Wansleeben, Karsten Lambers
In this paper, we present the development of a training dataset for Dutch Named Entity Recognition (NER) in the archaeology domain.
no code implementations • WS 2019 • Br, Stephanie l, David Lassner
We propose Word Embedding Networks, a novel method that is able to learn word embeddings of individual data slices while simultaneously aligning and ordering them without feeding temporal information a priori to the model.
no code implementations • LREC 2016 • Josef Ruppenhofer, Br, Jasper es
We also present results of a crowdsourcing experiment to test the utility of some known and some new functors for opinion inference where, unlike in previous work, subjects are asked to reason from event evaluation to participant evaluation.