1 code implementation • NoDaLiDa 2021 • Katrin Ortmann
Quantitative studies of historical syntax require large amounts of syntactically annotated data, which are rarely available.
1 code implementation • LREC 2022 • Katrin Ortmann
The traditional evaluation of labeled spans with precision, recall, and F1-score has undesirable effects due to double penalties.
1 code implementation • COLING (LaTeCHCLfL, CLFL, LaTeCH) 2020 • Katrin Ortmann
For the study of certain linguistic phenomena and their development over time, large amounts of textual data must be enriched with relevant annotations.
no code implementations • LREC 2020 • Katrin Ortmann, Stefanie Dipper
Independently of the medial representation (written/spoken), language can exhibit characteristics of conceptual orality or literacy, which mainly manifest themselves on the lexical or syntactic level.
no code implementations • WS 2019 • Katrin Ortmann, Stefanie Dipper
This paper deals with the automatic identification of literate and oral discourse in German texts.
no code implementations • WS 2017 • Ronja Laarmann-Quante, Katrin Ortmann, Anna Ehlert, Maurice Vogel, Stefanie Dipper
NLP applications for learners often rely on annotated learner corpora.