Knowledge base construction to improve voice-enabled AI in industrial settings
Knowledge Base (KB) construction from text aims at converting the unstructured noisy textual data into a structured task-specific actionable knowledge that captures entities (elements of interest (EOI)), their attributes, and their relationships. KBs are key ingredient for many AI and knowledge-driven tasks such as question answering, decision support systems, recommender systems, and others. KB construction has been an attractive research topic for decades resulting in many general KBs such as DBPedia, Freebase, Google Knowledge Vault, ConceptNet, NELL, YAGO, and domain-specific KBs such as Amazon Product Graph, Microsoft Academic Graph.
