in Studies on Deep Learning, Natural Language Processing, Knowledge Graph
Commonsense knowledge graph can be useful source of explicit knowledge for generating texts that make sense. However, it is hard to use KG since it would hold huge amount of information than needed. Retrieving graphs which is relevent for the generation is the key.
in Studies on Deep Learning, Natural Language Processing, Knowledge Graph
Though knowledge graph can capture the essence of corpus, generating sentences based on the graph is difficult task. This paper tried to generate texts(paper abstracts) from KG in science(AI) domain.
in Studies on Deep Learning, Natural Language Processing, Knowledge Graph
Knowledge graph is graph representation of knowledge. Entities are represented as nodes and relations between entities are represented as edges. Commonsense knowledge graph stores commonsense knowledge in form of graphs. Two of common dataset for commonsense knowledge graph are ATOMIC and ConceptNet.
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