ACL RD-TEC 1.0 Summarization of N03-1023
Paper Title:
WEAKLY SUPERVISED NATURAL LANGUAGE LEARNING WITHOUT REDUNDANT VIEWS
WEAKLY SUPERVISED NATURAL LANGUAGE LEARNING WITHOUT REDUNDANT VIEWS
Authors: Vincent Ng and Claire Cardie
Primarily assigned technology terms:
- algorithm
- anaphora resolution
- bagging
- binding
- boosting
- bootstrap
- bootstrapping
- bootstrapping algorithm
- bracketing
- classification
- classification algorithm
- classifier
- classifiers
- clustering
- clustering algorithm
- co-training
- co-training algorithm
- coreference classifier
- coreference resolution
- coreference resolution system
- coreference system
- data generation
- decision tree
- decision tree induction
- disambiguation
- em algorithm
- entity classification
- expectation-maximization
- factorization
- feature selection
- feature selection algorithm
- feature selection method
- feature selection process
- feature split
- forward selection
- greedy agreement
- heuristic method
- illustration
- induction
- iterative algorithm
- language learning
- language processing
- learner
- learning
- learning algorithm
- learning algorithms
- learning approaches
- learning framework
- lexical tagging
- machine learning
- majority voting
- measuring
- muc scoring
- naive bayes
- naive bayes classifiers
- named entity classification
- natural language learning
- natural language processing
- nlp
- noun phrase bracketing
- parameter setting
- parsing
- part-of-speech tagging
- phrase bracketing
- phrase coreference resolution
- probabilistic classifier
- processing
- pronoun resolution
- pronoun resolution algorithm
- sampling
- scoring
- scoring program
- selection algorithm
- selection method
- selection process
- self-training
- set disambiguation
- simple majority voting
- splitting
- statistical parsing
- supervised classification
- supervised learner
- supervised learning
- supervised learning algorithm
- tagging
- text classification
- tree induction
- view factorization
- voting
- weak learner
- weakly supervised learning
- wrapper-based feature selection
Other assigned terms:
- agreement rate
- anaphor
- anaphora
- animacy
- annotated corpus
- approach
- base noun
- base noun phrase
- bias
- binding theory
- case
- class distribution
- class information
- classification accuracy
- classification task
- classification tasks
- community
- concept
- conditional independence
- convergence
- data set
- data sets
- distribution
- document
- empirical results
- experimental results
- f-measure
- fact
- feature
- feature set
- feature type
- generation
- generative model
- heuristic
- heuristics
- hypothesis
- implementation
- independence assumption
- knowledge
- language processing tasks
- meta-bootstrapping
- method
- model parameters
- model performance
- named entity
- natural language
- natural language processing tasks
- nlp community
- noise
- noun phrase
- noun phrase coreference
- noun phrases
- parameter settings
- parametric model
- part-of-speech
- phrase
- phrase coreference
- posterior
- posterior probability
- precision
- preposition
- prior probability
- probability
- probability estimates
- process
- processing tasks
- projection
- pronoun
- pronouns
- seed
- semantic
- semantic class
- semantic class information
- sentences
- syntax
- technique
- terms
- test data
- test set
- text
- theory
- training
- training corpus
- training data
- training instance
- training set
- tree
- wordnet
- words