CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts

1 code implementation • SEMEVAL 2020 • David Rother, Thomas Haider, Steffen Eger

Remarkably, with only 10 dimensional MBERT embeddings (reduced from the original size of 768), our submitted model performs best on subtask 1 for English and ranks third in subtask 2 for English.

Change Detection Clustering +1