ACL RD-TEC 1.0 Summarization of J00-4004
Paper Title:
LEARNING METHODS TO COMBINE LINGUISTIC INDICATORS: IMPROVING ASPECTUAL CLASSIFICATION AND REVEALING LINGUISTIC INSIGHTS
LEARNING METHODS TO COMBINE LINGUISTIC INDICATORS: IMPROVING ASPECTUAL CLASSIFICATION AND REVEALING LINGUISTIC INSIGHTS
Authors: Eric V. Siegel and Kathleen R. McKeown
Primarily assigned technology terms:
- algorithm
- aspectual classification
- automatic learning
- binary classification
- binomial test
- cart decision tree
- classification
- classification method
- classification system
- classifiers
- clustering
- clustering algorithm
- computational linguistics
- computer science
- computing
- corpus analysis
- database
- decision tree
- decision tree induction
- decision trees
- disambiguation
- genetic algorithm
- genetic programming
- grouping
- identification
- image classification
- induction
- induction process
- information pertaining
- information retrieval
- java
- knowledge acquisition
- language classification
- language generation
- language interpretation
- language understanding
- learning
- learning algorithm
- learning algorithms
- learning method
- learning methods
- learning technique
- learning techniques
- lexical knowledge acquisition
- lexical selection
- logistic regression
- machine learning
- machine learning methods
- machine learning techniques
- machine translation
- measuring
- modeling
- naive bayes
- natural language classification
- natural language generation
- natural language interpretation
- natural language understanding
- neural networks
- parser
- parsing
- partitioning
- processing
- reading
- reasoning
- recursive partitioning
- regression
- sense disambiguation
- stacked generalization
- statistical methods
- summarization
- supervised learning
- supervised machine learning
- supervised training
- syntactic parsing
- temporal reasoning
- tense selection
- training process
- tree induction
- unsupervised approach
- unsupervised clustering
- unsupervised learning
- unsupervised learning algorithm
- unsupervised method
- verb classification
- weighting
- word sense disambiguation
Other assigned terms:
- adverb
- ambiguity
- annotation
- approach
- array
- aspectual marker
- aspectual transformation
- association for computational linguistics
- baseline measure
- baseline performance
- bias
- bilingual corpora
- case
- class distribution
- classification accuracy
- classification component
- classification performance
- classification problem
- classification task
- classification tasks
- co-occurrence
- co-occurrence frequency
- co-occurrence relation
- co-occurrence statistics
- cognitive
- concept
- concepts
- corpora
- correlation
- culminated process
- data sets
- determiner
- discourse
- distribution
- duration
- entailment
- evaluation set
- events
- f-measure
- fact
- french
- frequency indicator
- generation
- generative lexicon
- grammar
- hypotheses
- hypothesis
- inferences
- interpretation
- knowledge
- labeling
- large corpora
- leaf
- lexical choice
- lexical entries
- lexical knowledge
- lexicon
- likelihood
- linear model
- linguist
- linguistic
- linguistic behavior
- linguistic constraints
- linguistic phenomena
- linguistic phenomenon
- linguistics
- linguists
- logic
- logistic regression model
- main verb
- maps
- meaning
- measure
- measures
- medical corpus
- method
- natural language
- noise
- parsed corpus
- phrase
- polarity
- precision
- predictive power
- probability
- procedure
- process
- pronoun
- proper noun
- regression model
- relation
- root node
- russian
- schema
- semantic
- semantic relatedness
- sentence
- sentences
- slot
- statistics
- subtree
- technique
- temporal relations
- temporal relationship
- terminals
- terms
- test data
- test set
- testing data
- text
- training
- training and test data
- training data
- training examples
- training set
- transformation
- tree
- tree node
- trees
- understanding
- unlabeled corpora
- verb
- verb arguments
- verb class
- verb distribution
- verb groups
- verb-object pair
- weighting scheme
- word
- word sense
- words
