Post #91

Applications of graphs in NLP In addition to computer vision, there are many applications of graphs to NLP too. For example, knowledge graphs have been used extensively in research to bring fact knowledge to dialogue and question-answering systems, besides approaches for commonsense reasoning and named entity recognition (see these conference reviews of NLP+KG domains by Michael Galkin). And sometimes you even get more technical papers in this domain, like in this video Relation Embedding with Dihedral Group in Knowledge Graph of ACL '19 paper, where the authors model composition of relationships with some group theory.