118 citations · 322 across the 24 of their papers we have counts for
26 papers
Knowledge Base Completion for Long-Tail Entities
Lihu Chen, Simon Razniewski, Gerhard Weikum
Despite their impressive scale, knowledge bases (KBs), such as Wikidata, still contain significant gaps. Language models (LMs) have been proposed as a source for filling these gaps…
Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translation
Julien Romero, Simon Razniewski
Structured knowledge bases (KBs) are the backbone of many know\-ledge-intensive applications, and their automated construction has received considerable attention. In particular, o…
Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey
Simon Razniewski, Hiba Arnaout, Shrestha Ghosh +1
General-purpose knowledge bases (KBs) are a cornerstone of knowledge-centric AI. Many of them are constructed pragmatically from Web sources, and are thus far from complete. This p…
How Stable is Knowledge Base Knowledge?
Suhas Shrinivasan, Simon Razniewski
Knowledge Bases (KBs) provide structured representation of the real-world in the form of extensive collections of facts about real-world entities, their properties and relationship…
Materialized Knowledge Bases from Commonsense Transformers
Tuan-Phong Nguyen, Simon Razniewski
Starting from the COMET methodology by Bosselut et al. (2019), generating commonsense knowledge directly from pre-trained language models has recently received significant attentio…
Language Models As or For Knowledge Bases
Simon Razniewski, Andrew Yates, Nora Kassner +1
Pre-trained language models (LMs) have recently gained attention for their potential as an alternative to (or proxy for) explicit knowledge bases (KBs). In this position paper, we…