Papers by Kai-Uwe Kühnberger
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation (2024.emnlp-main)
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Mohamad Ballout, Anne Dedert, Nohayr Abdelmoneim, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger
| Challenge: | Word sense disambiguation (WSD) is a key task in natural language processing . however, these models struggle with recognizing semantic boundaries in adversarial contexts . |
| Approach: | They propose to use a coarse-grained WSD dataset to assess model robustness . they found that some models struggled to correctly disambiguate homonyms in adversarial contexts . |
| Outcome: | The proposed dataset includes four test sets to assess the robustness of language models in WSD tasks. |