Simon Krek — accepted AI-conference papers

2024

SUK 1.0: A New Training Corpus for Linguistic Annotation of Modern Standard Slovene

Špela Arhar Holdt, Jaka Čibej, Kaja Dobrovoljc, Tomaž Erjavec, Polona Gantar, Simon Krek +4

COLING 2024main

This paper introduces the upgrade of a training corpus for linguistic annotation of modern standard Slovene. The enhancement spans both the size of the corpus and the depth of annotation layers. The revised SUK 1.0 corpus, building on its predecessor ssj500k 2.3, has doubled in size, containing over…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2023

What’s the Meaning of Superhuman Performance in Today’s NLU?

Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajič, Daniel Hershcovich, Eduard Hovy +6

ACL 2023long

In the last five years, there has been a significant focus in Natural Language Processing (NLP) on developing larger Pretrained Language Models (PLMs) and introducing benchmarks such as SuperGLUE and SQuAD to measure their abilities in language understanding, reasoning, and reading comprehension. Th…

Cited by 24 Source ↗PDF ↗Scholar ↗