The Sentence End and Punctuation Prediction in NLG text (SEPP-NLG) shared task 2021
Don Tuggener, Ahmad Aghaebrahimian · Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) · 2021
This paper describes the first Sentence End and Punctuation Prediction in Natural Language Generation (SEPP-NLG) shared task1 held at the SwissText conference 2021. The goal of the shared task was to develop solutions for the identification of sentence boundaries and the insertion of punctuation marks into texts produced by NLG systems. The data and submissions, and the codebase for the shared tasks are publicly available.