Characterizing how 'distributional' NLP corpora distance metrics are.
Samuel AckermanGeorge KourEitan FarchiPublished in: CoRR (2023)
Keyphrases
- distance metric
- natural language processing
- euclidean distance
- distance metric learning
- metric learning
- information extraction
- distance measure
- lexical resources
- wordnet
- natural language
- data points
- hand crafted
- computational linguistics
- text mining
- distance function
- co occurrence
- machine learning
- named entities
- similarity measure
- neural network
- machine translation
- pattern recognition
- decision trees
- preprocessing step
- high dimensional data
- feature space
- active learning