TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings

no code implementations • SEMEVAL 2020 • Anna Karnysheva, Pia Schwarz

For a more fine grained detection of semantic change we take the Jensen-Shannon Distance metric and rank the target words from strongest to weakest change.

Change Detection Clustering +2