Who Wrote When? Author Diarization in Social Media Discussions
Boenninghoff, Benedikt; Hosseini, Henry; Nickel, Robert M.; Kolossa, Dorothea
Abstract
We are proposing a novel framework for author diarization, i.e. attributing comments in online discussions to individual authors. We consider an innovative approach that merges pre-trained neural representations of writing style with author-conditional encoder-decoder diarization, enhanced by a Conditional Random Field with Viterbi decoding for alignment refinement. Additionally, we introduce two new large-scale German language datasets, one for authorship verification and the other for author diarization. We evaluate the performance of our diarization framework on these datasets, offering insights into the strengths and limitations of this approach.
Keywords
NLP; Deep Learning; Author Diarization; Social Media