16 citations · 20 across the 7 of their papers we have counts for
7 papers · 1 filter
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…
Joint Reasoning for Multi-Faceted Commonsense Knowledge
Yohan Chalier, Simon Razniewski, Gerhard Weikum
Commonsense knowledge (CSK) supports a variety of AI applications, from visual understanding to chatbots. Prior works on acquiring CSK, such as ConceptNet, have compiled statements…
Story-oriented Image Selection and Placement
Sreyasi Nag Chowdhury, Simon Razniewski, Gerhard Weikum
Multimodal contents have become commonplace on the Internet today, manifested as news articles, social media posts, and personal or business blog posts. Among the various kinds of…
Commonsense Properties from Query Logs and Question Answering Forums
Julien Romero, Simon Razniewski, Koninika Pal +3
Commonsense knowledge about object properties, human behavior and general concepts is crucial for robust AI applications. However, automatic acquisition of this knowledge is challe…
TiFi: Taxonomy Induction for Fictional Domains [Extended version]
Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum
Taxonomies are important building blocks of structured knowledge bases, and their construction from text sources and Wikipedia has received much attention. In this paper we focus o…
Enriching Knowledge Bases with Counting Quantifiers
Paramita Mirza, Simon Razniewski, Fariz Darari +1
Information extraction traditionally focuses on extracting relations between identifiable entities, such as <Monterey, locatedIn, California>. Yet, texts often also contain Countin…