Simon Hengchen — accepted AI-conference papers

2023

Superlim: A Swedish Language Understanding Evaluation Benchmark

Aleksandrs Berdicevskis, Gerlof Bouma, Robin Kurtz, Felix Morger, Joey Öhman, Yvonne Adesam +12

EMNLP 2023long main

We present Superlim, a multi-task NLP benchmark and analysis platform for evaluating Swedish language models, a counterpart to the English-language (Super)GLUE suite. We describe the dataset, the tasks, the leaderboard and report the baseline results yielded by a reference implementation. The tested…

Cited by 0 Source ↗Scholar ↗

2021

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray

EMNLP 2021main

Word meaning is notoriously difficult to capture, both synchronically and diachronically. In this paper, we describe the creation of the largest resource of graded contextualized, diachronic word meaning annotation in four different languages, based on 100,000 human semantic proximity judgments. We…

Cited by 58 Source ↗PDF ↗Scholar ↗