ACL RD-TEC 1.0 Summarization of C04-1036
Paper Title:
FEATURE VECTOR QUALITY AND DISTRIBUTIONAL SIMILARITY
FEATURE VECTOR QUALITY AND DISTRIBUTIONAL SIMILARITY
Authors: Maayan Geffet and Ido Dagan
Primarily assigned technology terms:
- approximation
- clustering
- dependency parser
- direct association
- disambiguation
- error analysis
- feature filtering
- feature ranking
- feature weighting
- feature weighting and selection
- learning
- learning framework
- matching
- minipar
- minipar dependency parser
- nlp
- paraphrase acquisition
- parser
- ranking
- sense disambiguation
- tuning
- weighting
- word sense disambiguation
Other assigned terms:
- approach
- case
- co-occurrence
- concepts
- conditional probability
- corpus frequency
- distributional similarity
- distributional similarity scheme
- english language
- entailment
- entropy
- experimental setting
- feature
- feature focus
- feature vector
- feature vectors
- feature weight
- generation
- gold standard
- governor
- hypernym
- hyponyms
- implementation
- kappa
- meaning
- meanings
- measure
- measures
- mechanisms
- method
- mutual information
- nlp applications
- nouns
- ontology
- pairs of words
- paraphrase
- phrase
- precision
- probability
- relation
- relative feature focus
- reuters corpus
- semantic
- semantic relatedness
- semantic types
- similarity between words
- similarity measure
- similarity measures
- similarity metric
- similarity score
- similarity scores
- substitutability
- synonyms
- syntactic relation
- syntactic relations
- target word
- term
- test set
- tokens
- understanding
- weight thresholds
- word
- word meaning
- word sense
- word similarity
- word similarity measure
- word vector
- wordnet
- words
