36 citations · 59 across the 6 of their papers we have counts for
7 papers
UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction
Andrianos Michail, Stefanos Konstantinou, Simon Clematide
This paper describes the submission of UZH_CLyp for the SemEval 2023 Task 9 "Multilingual Tweet Intimacy Analysis". We achieved second-best results in all 10 languages according to…
Transformer-based HTR for Historical Documents
Phillip Benjamin Ströbel, Simon Clematide, Martin Volk +1
We apply the TrOCR framework to real-world, historical manuscripts and show that TrOCR per se is a strong model, ideal for transfer learning. TrOCR has been trained on English only…
Evaluation of HTR models without Ground Truth Material
Phillip Benjamin Ströbel, Simon Clematide, Martin Volk +3
The evaluation of Handwritten Text Recognition (HTR) models during their development is straightforward: because HTR is a supervised problem, the usual data split into training, va…
On Isotropy Calibration of Transformers
Yue Ding, Karolis Martinkus, Damian Pascual +2
Different studies of the embedding space of transformer models suggest that the distribution of contextual representations is highly anisotropic - the embeddings are distributed in…
Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
Raphaël Barman, Maud Ehrmann, Simon Clematide +2
The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to aut…
Imitation Learning for Neural Morphological String Transduction
Peter Makarov, Simon Clematide
We employ imitation learning to train a neural transition-based string transducer for morphological tasks such as inflection generation and lemmatization. Previous approaches to tr…
Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Peter Makarov, Tatiana Ruzsics, Simon Clematide
This paper presents the submissions by the University of Zurich to the SIGMORPHON 2017 shared task on morphological reinflection. The task is to predict the inflected form given a…