no code implementations • 26 May 2023 • Hiba Arnaout, Simon Razniewski
We examine the ability of large language models (LLMs) to generate salient (interesting) negative statements about real-world entities; an emerging research topic of the last few years.
no code implementations • 9 May 2023 • Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian Suchanek
General-purpose knowledge bases (KBs) are a cornerstone of knowledge-centric AI.
no code implementations • 19 Aug 2022 • Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan
This way, positive statements about comparable concepts that are absent for the target concept become seeds for negative statement candidates.
no code implementations • AKBC 2020 • Hiba Arnaout, Simon Razniewski, Gerhard Weikum
Negative statements would be important to overcome current limitations of question answering, yet due to their potential abundance, any effort towards compiling them needs a tight coupling with ranking.
no code implementations • 13 Jan 2020 • Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan
Negative statements are useful to overcome limitations of question answering systems that are mainly geared for positive questions; they can also contribute to informative summaries of entities.