Low-dimensional Semantic Space: from Text to Word Embedding.
Xiaolei LuBin NiPublished in: CoRR (2019)
Keyphrases
- semantic space
- co occurrence
- low dimensional
- latent semantic analysis
- word pairs
- vector space
- concept space
- nonlinear dimensionality reduction
- automatically extracted
- semantic concepts
- visual features
- high dimensional
- mapping function
- cross modal
- dimensionality reduction
- unsupervised manner
- manifold learning
- latent space
- word sense
- keywords
- semantic features
- semantic similarity
- n gram
- text documents
- wordnet
- principal component analysis
- semantic relations
- text retrieval
- visual information
- latent semantic indexing
- named entities
- semantic information
- high dimensional data
- data points
- natural language
- information retrieval