Knowledge bases (KBs), pragmatic collections of knowledge about notable entities, are an important asset in applications such as search, question answering and dialogue. Rooted in a long tradition in knowledge representation, all popular KBs only store positive information, but abstain from taking any stance towards statements not contained in them. In this work, we make the case for explicitly stating interesting statements which are *NOT* true.
- 1.4M interesting negative statements about the most popular 130K people, organizations, and literature work. - [HERE] *
Methodology used: peer-based statistical inferences method in AKBC 2020 paper.
- 6.2K interesting negative statements about the most popular 2.4K people. - [HERE]
Methodology used: pattern-based query log extraction method in AKBC 2020 paper.
- 1K mturk-annotated negative statements - [HERE]
[Format: ROW_ID[tab]S_ID[tab]S_LABEL[tabl]S_TYPE[tab]CORRECTNESS_LABEL], retrived from *.
Correctness assessment: correct, incorrect, not sure.