ACL RD-TEC 1.0 Summarization of N06-1010
Paper Title:
EXPLOITING DOMAIN STRUCTURE FOR NAMED ENTITY RECOGNITION
EXPLOITING DOMAIN STRUCTURE FOR NAMED ENTITY RECOGNITION
Authors: Jing Jiang and ChengXiang Zhai
Primarily assigned technology terms:
- active learning
- algorithm
- automatic tagging
- capitalization
- classification
- classifier
- crfs
- cross validation
- domain feature ranking
- entity classification
- entity recognition
- entity recognizer
- estimator
- feature ranking
- feature selection
- hard feature selection
- hmms
- incremental feature selection
- information extraction
- information retrieval
- language processing
- language understanding
- learning
- learning algorithm
- learning approaches
- learning method
- likelihood estimator
- logistic regression
- machine translation
- matching
- maximum entropy
- maximum entropy model
- maximum likelihood
- maximum likelihood estimator
- mining
- named entity classification
- named entity recognition
- named entity recognizer
- natural language processing
- natural language understanding
- ne recognizer
- nlp
- parameter setting
- processing
- question answering
- ranking
- ranking function
- ranking method
- reasoning
- recognition
- recognizer
- regression
- regularization
- scoring
- scoring function
- semi-supervised learning
- sequential tagging
- soft feature selection
- string matching
- supervised learning
- tagging
- tagging procedure
- text mining
- unsupervised method
- validation
- viterbi
- viterbi algorithm
Other assigned terms:
- annotated training set
- approach
- baseline performance
- biology
- biomedical literature
- case
- classification accuracy
- community
- contextual features
- correlation
- data set
- empirical evaluation
- entropy
- entropy models
- estimation
- fact
- feature
- feature list
- feature space
- feature vector
- gaussian prior
- gene names
- genre
- information gain
- knowledge
- language processing applications
- language processing tasks
- large feature space
- learning problem
- lexical knowledge
- likelihood
- logistic regression model
- maps
- maximum entropy models
- measure
- measures
- method
- model parameters
- named entities
- named entity
- names
- natural language
- natural language processing applications
- natural language processing tasks
- ner problem
- nlp community
- noise
- posterior
- posterior probability
- precision
- probability
- procedure
- processing tasks
- regression model
- relation
- reuters corpus
- sentence
- sentences
- statistic
- synonym
- tag sequence
- tagging problem
- tags
- test data
- test set
- text
- tokens
- trained model
- training
- training data
- training examples
- training set
- transformation
- understanding
- verb
- weight vector
- word
- word features
- words
