CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts.
David RotherThomas N. HaiderSteffen EgerPublished in: SemEval@COLING (2020)
Keyphrases
- manifold learning
- high dimensional data
- clustering algorithm
- euclidean space
- low dimensional
- clustering method
- automatic detection
- k means
- machine learning
- data points
- cluster analysis
- data clustering
- unsupervised learning
- detection algorithm
- high dimensional
- natural language
- subspace clustering
- probabilistic latent semantic analysis
- cell complexes
- low dimensional spaces
- fuzzy clustering
- hierarchical clustering
- spectral clustering
- data objects
- dimensionality reduction
- feature space
- image segmentation
- information retrieval