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- Max Planck SocietyDE261 papers
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- Institut national de recherche en sciences et technologies du numériqueFR24 papers
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26 papers · 1 filter
UnCommonSense: Informative Negative Knowledge about Everyday Concepts
Hiba Arnaout, Simon Razniewski, Gerhard Weikum +1
Commonsense knowledge about everyday concepts is an important asset for AI applications, such as question answering and chatbots. Recently, we have seen an increasing interest in t…
Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering
Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
ASCENT is a fully automated methodology for extracting and consolidating commonsense assertions from web contents (Nguyen et al., WWW 2021). It advances traditional triple-based co…
Advanced Semantics for Commonsense Knowledge Extraction
Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
Commonsense knowledge (CSK) about concepts and their properties is useful for AI applications such as robust chatbots. Prior works like ConceptNet, TupleKB and others compiled larg…
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
Gerhard Weikum, Luna Dong, Simon Razniewski +1
Equipping machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing goal of AI. Over the last decade, large-scale knowledge bas…
Towards Explainable Artificial Intelligence
Wojciech Samek, Klaus-Robert Müller
In recent years, machine learning (ML) has become a key enabling technology for the sciences and industry. Especially through improvements in methodology, the availability of large…
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder +3
Current learning machines have successfully solved hard application problems, reaching high accuracy and displaying seemingly "intelligent" behavior. Here we apply recent technique…