ACL RD-TEC 1.0 Summarization of W05-1003
Paper Title:
IDENTIFYING CONCEPT ATTRIBUTES USING A CLASSIFIER
IDENTIFYING CONCEPT ATTRIBUTES USING A CLASSIFIER
Authors: Massimo Poesio and Abdulrahman Almuhareb
Primarily assigned technology terms:
- algorithm
- attribute extraction
- brill tagger
- classification
- classifier
- classifiers
- clustering
- computational linguistics
- cross-validation
- cutoff
- database
- decision trees
- deep lexical acquisition
- google api
- java
- knowledge representation
- lexical acquisition
- lexicon building
- mining
- morphology
- noun classification
- object oriented programming
- pos tagger
- search
- searching
- sense discrimination
- tagger
- weighting
- weka
- word sense discrimination
Other assigned terms:
- 10-fold cross-validation
- adjective
- approach
- association for computational linguistics
- attribute type
- case
- classification scheme
- classification task
- cluster
- clusters
- cohesion
- concept
- concepts
- derivational morphology
- entropy
- f-measure
- fact
- feature
- heuristic
- heuristics
- hyponymy
- interpretation
- kappa
- kappa statistic
- knowledge
- lexicon
- linguistic
- linguistic theory
- linguistics
- linguists
- meaning
- measure
- measures
- method
- modifier
- morph
- morphological information
- nouns
- phrase
- precision
- probabilities
- probability
- process
- question type
- relation
- representations
- semantic
- semantic filter
- semantic relation
- semantic relations
- statistic
- synonymy
- syntactic constructions
- tags
- term
- terms
- text
- theories
- theory
- training
- training data
- training examples
- training set
- trees
- verb
- word
- word sense
- wordnet
- words
