ACL RD-TEC 1.0 Summarization of N06-2020
Paper Title:
EVALUATION OF UTILITY OF LSA FOR WORD SENSE DISCRIMINATION
EVALUATION OF UTILITY OF LSA FOR WORD SENSE DISCRIMINATION
Authors: Esther Levin and Mehrbod Sharifi and Jerry Ball
Primarily assigned technology terms:
- algorithm
- call routing
- classification
- clustering
- computing
- context-group discrimination
- decomposition
- dimensionality reduction
- document clustering
- identification
- information retrieval
- k-means
- language modeling
- language processing
- latent semantic analysis
- machine-learning
- modeling
- natural language processing
- processing
- semantic analysis
- semantic inference
- sense discrimination
- singular value decomposition
- unsupervised clustering
- unsupervised identification
- vector representation
- word sense discrimination
Other assigned terms:
- ambiguous word
- ambiguous words
- average silhouette value
- chunk
- cluster
- cluster centroid
- clusters
- co-occurrence
- co-occurrence matrix
- concepts
- context size
- context vector
- context vectors
- contextual similarity
- corpora
- cosine distance
- cosine distance measure
- dimensionality
- distance measure
- document
- document length
- entropy
- hypothesis
- latent semantic
- latent semantic space
- linear combination
- meaning
- measure
- measures
- methodology
- natural language
- noise
- parameter space
- performance evaluation
- semantic
- semantic space
- semantic structure
- spoken interface control
- style
- technique
- test data
- tokens
- training
- training set
- vector space
- vector space dimensionality
- word
- word meaning
- word sense
- word senses
- words
