redewiedergabe/bert-base-historical-german-rw-cased

The language model was used in the task to tag direct, indirect, reported and free indirect speech/thought/writing representation in fictional and non-fictional German texts . The tagging model was trained using the SequenceTagger Class of the Flair framework (Akbik et al., 2019) which implements a BiLSTM-CRF architecture on top of a language embedding (as proposed by Huang et al. (2015) The tagger is available and described in detail at https://://github.com/redewiedergabe/tagger.org/tagger . Results are reported below in comparison to a custom trained flair embedding, which was stacked onto a custom,