no code implementations • GermEval 2022 • Leander Girrbach
We evaluate a pairwise regression model that predicts the relative difference in complexity of two sentences, instead of predicting a complexity score from a single sentence.
no code implementations • NAACL (SIGMORPHON) 2022 • Leander Girrbach
We propose a sequence labelling approach to word-level morpheme segmentation.
Ranked #3 on Morpheme Segmentaiton on UniMorph 4.0 (lev dist (subtask 2) metric)
no code implementations • NAACL (SIGMORPHON) 2022 • Tatiana Merzhevich, Nkonye Gbadegoye, Leander Girrbach, Jingwen Li, Ryan Soh-Eun Shim
This paper describes our participation in the 2022 SIGMORPHON-UniMorph Shared Task on Typologically Diverse and AcquisitionInspired Morphological Inflection Generation.
1 code implementation • 20 Jul 2023 • Leander Girrbach, Anders Christensen, Ole Winther, Zeynep Akata, A. Sophia Koepke
Whilst this captures useful information for linear classifiers, we find that no relevant spatial structure is present in later layers of deep neural networks, making neural persistence roughly equivalent to the variance of weights.
1 code implementation • 30 Jan 2022 • Jingwen Li, Leander Girrbach
We describe our participation in the Word Segmentation and Morphological Parsing (WSMP) for Sanskrit hackathon.