ACL RD-TEC 1.0 Summarization of W98-0706
Paper Title:
TEXT CLASSIFICATION USING WORDNET HYPERNYMS
TEXT CLASSIFICATION USING WORDNET HYPERNYMS
Authors: Sam Scott and Stan Matwin
Primarily assigned technology terms:
- algorithm
- automatic disambiguation
- automatic indexing
- bag-of-words approach
- best-first search
- binary classification
- brill tagger
- classification
- computing
- cross-validation
- disambiguation
- indexing
- induction
- information retrieval
- internet
- learner
- learning
- learning algorithm
- learning algorithms
- learning system
- learning task
- linguistic processing
- machine learning
- machine learning algorithm
- network learning
- neural network
- neural networks
- processing
- rule induction
- search
- searching
- sense disambiguation
- supervised machine learning
- tagger
- terminology
- text classification
- text representation
- word sense disambiguation
Other assigned terms:
- 10-fold cross-validation
- approach
- average error rate
- background knowledge
- case
- classification accuracy
- classification accuracy \
- classification task
- classification tasks
- community
- comprehensibility
- comprehension
- concepts
- corpora
- data set
- data sets
- dimensionality
- document
- error rate
- experimental results
- fact
- factual information
- feature
- feature set
- feature vector
- feature vectors
- frame
- hypemym
- hypernym
- hypernymy
- hyponyms
- hypotheses
- hypothesis
- key words
- knowledge
- linguistic
- linguistic competence
- linguistic knowledge
- measure
- method
- names
- neuroscience
- nouns
- part of speech
- process
- representations
- search strategy
- semantic
- semantic hierarchy
- semantic knowledge
- speech information
- speech tag
- style
- synonym
- synonymy
- synset
- synsets
- technical terms
- terms
- testing set
- text
- text classification task
- topics
- training
- training data
- training examples
- training phase
- training set
- user
- vector space
- vocabulary
- word
- word sense
- wordnet
- wordnet hierarchy
- words
- wrapper
