HIIG at GermEval 2022: Best of Both Worlds Ensemble for Automatic Text Complexity Assessment

Code

• github.com/hadiasghari/konvens22-shared-task
  OfficialIn papernone★ 1

Abstract

In this paper we explain HIIG’s contribution to the shared task Text Complexity DE Challenge 2022. Our best-performing model for the task of automatically determining the complexity level of a German-language sentence is a combination of a transformer model and a classic feature-based model, which achieves a mapped root square mean error of 0.446 on the test data.

Tasks

Reproductions