ACL RD-TEC 1.0 Summarization of P05-3027
Paper Title:
SENSECLUSTERS: UNSUPERVISED CLUSTERING AND LABELING OF SIMILAR CONTEXTS
SENSECLUSTERS: UNSUPERVISED CLUSTERING AND LABELING OF SIMILAR CONTEXTS
Authors: Anagha Kulkarni and Ted Pedersen
Primarily assigned technology terms:
- 3-way name discrimination
- agglomerative clustering
- bigram feature selection
- categorization
- classifier
- clustering
- clustering method
- computational linguistics
- decomposition
- feature selection
- headless clustering
- hybrid clustering
- information retrieval
- majority classifier
- name discrimination
- partitional clustering
- proper name discrimination
- search
- sense discrimination
- singular value decomposition
- unsupervised clustering
- web search
- word sense discrimination
Other assigned terms:
- ambiguous word
- approach
- association for computational linguistics
- bigram
- case
- cluster
- clusters
- co-occurrence
- co-occurrence feature
- co-occurrence matrix
- co-occurrences
- concepts
- context vector
- corpora
- dictionary
- dimensionality
- experimental results
- f-measure
- fact
- feature
- hypothesis
- labeling
- lexical features
- linguistics
- log-likelihood
- log-likelihood ratio
- meanings
- message
- method
- methodology
- names
- pairs of words
- precision
- proper name
- representations
- second order context
- target word
- terms
- test data
- text
- theory
- user
- word
- word co-occurrence
- word dictionary
- word sense
- words
