CLNov 17, 2018

Sense Perception Common Sense Relationships

arXiv:1811.07098v2
Originality Synthesis-oriented
AI Analysis

This addresses a gap in knowledge representation for AI systems, but it appears incremental as it focuses on specific sense perception concepts.

The paper tackled the problem of missing common sense relationships about unnamed entities in knowledge bases by proposing to extract novel relationships related to sense perception concepts like sound and smell.

Often missing in existing knowledge bases of facts, are relationships that encode common sense knowledge about unnamed entities. In this paper, we propose to extract novel, common sense relationships pertaining to sense perception concepts such as sound and smell.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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