Papers Commonsense Knowledge Base Construction
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Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering
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 commonsense knowledge representation by ca…
Commonsense Knowledge Base ConstructionQuestion AnsweringCommonsense Knowledge Base Construction in the Age of Big Data
Compiling commonsense knowledge is traditionally an AI topic approached by manual labor. Recent advances in web data processing have enabled automated approaches. In this demonstration we will showcase three systems for …
Commonsense Knowledge Base ConstructionKnowledge Base ConstructionManagementA Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification
We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an explainable system for emotion attribution and recommendation. This system relies on a recently introduced commonsense reasoning framework, the TCL logic…
Causal Emotion EntailmentCausal InferenceCommonsense Knowledge Base ConstructionEmotion Classification+3Advanced Semantics for Commonsense Knowledge Extraction
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 large CSK collections, but are restricted in…
Commonsense Knowledge Base Construction