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Knowledge Graphs in NLP @ EMNLP 2020 A new digest from Michael Galkin on the applications of knowledge graphs in NLP at the last EMNLP conference. Much bigger models (6.5B parameters), more languages (100 languages for entity linking), more complex tasks (data to text).