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Sophie Henning

2 accepted papers

2023

Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text

EMNLP 2023short findings

Generative language models have recently shown remarkable success in generating answers to questions in a given textual context. However, these answers may suffer from hallucination, wrongly cite evidence, and spread misleading information. In this work, we address this problem by employing ChatGPT…

Cited by 0SourceScholar
2022

MiST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text

EMNLP 2022finding

Modal verbs (e.g., can, should or must) occur highly frequently in scientific articles. Decoding their function is not straightforward: they are often used for hedging, but they may also denote abilities and restrictions. Understanding their meaning is important for accurate information extraction f…