Knowledge graphs (KGs) are a useful tool for representing rich symbolic knowledge about entities and their relationships, and have been applied in a variety of fields, including search engines, recommendation systems, chatbots, and healthcare. Traditionally, KGs have been constructed through expensive human crowdsourcing efforts (such as WordNet, ConceptNet, and ATOMIC). Researchers have also explored the use of text mining techniques for automatic KG construction, but this remains a challenging task due to large corpus and complex processing required.
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