ACL RD-TEC 1.0 Summarization of W06-1615
Paper Title:
DOMAIN ADAPTATION WITH STRUCTURAL CORRESPONDENCE LEARNING
DOMAIN ADAPTATION WITH STRUCTURAL CORRESPONDENCE LEARNING
Authors: John Blitzer and Ryan McDonald and Fernando Pereira
Primarily assigned technology terms:
- algorithm
- approximation
- binary classification
- bootstrapping
- chunking
- classification
- classifier
- classifier combination
- classifiers
- clustering
- computational linguistics
- decomposition
- dependency parser
- dependency parsing
- discriminative learning
- entity recognition
- entity recognizer
- factorization
- feature representation
- grouping
- inner product
- language processing
- large-margin learning
- learner
- learning
- learning algorithm
- learning methods
- loss function
- maximum entropy
- named entity recognition
- named entity recognizer
- natural language processing
- nlp
- nlp system
- optimization
- parser
- parsing
- part of speech tagging
- pos tagger
- pos tagging
- posteriori estimation
- predictor
- processing
- recognition
- recognizer
- scoring
- search
- searching
- semi-supervised learning
- semisupervised learning
- sequence analysis
- singular value decomposition
- speaker adaptation
- speech tagging
- structural correspondence
- structural learning
- supervised method
- supervised training
- tagger
- taggers
- tagging
- transduction
- viterbi
- viterbi inference
Other assigned terms:
- adjective
- association for computational linguistics
- bayes model
- binary classification problem
- binary features
- biomedical domain
- biomedical text
- case
- classification model
- classification problem
- co-occurrence
- computational linguistics domain
- correlations
- data sets
- determiners
- dimensionality
- distribution
- empirical results
- entropy
- estimation
- fact
- feature
- feature space
- feature type
- feature types
- feature vector
- implementation
- index
- knowledge
- labeled training data
- labeling
- learning problem
- linguistics
- mapping
- medline
- method
- named entity
- natural language
- nlp tasks
- noise
- norm
- nouns
- parser performance
- parsing accuracy
- parsing model
- part of speech
- partof-speech
- penn treebank
- phrase
- pos tagging problem
- prepositions
- procedure
- projection
- representations
- run-time
- sentence
- sentences
- signal
- tag set
- tagging accuracy
- tagging problem
- tags
- technique
- test data
- test set
- text
- training
- training and test data
- training data
- training instance
- training set
- training time
- treebank
- word
- word features
- words
