ACL RD-TEC 1.0 Summarization of P04-1075
Paper Title:
MULTI-CRITERIA-BASED ACTIVE LEARNING FOR NAMED ENTITY RECOGNITION
MULTI-CRITERIA-BASED ACTIVE LEARNING FOR NAMED ENTITY RECOGNITION
Authors: Dan Shen and Jie Zhang and Jian Su and Guodong Zhou and Chew-Lim Tan
Primarily assigned technology terms:
- active learning
- algorithm
- certainty-based sample selection
- chunking
- classific ation
- classification
- clustering
- clustering algorithm
- computing
- dynamic time warping
- entity recognition
- entity recognizer
- information retrieval
- information retrieval tasks
- kernel
- learner
- learning
- learning approach
- learning approaches
- learning method
- learning methods
- learning process
- linear kernel
- machine learning
- machine learning approaches
- name entity recognition
- named entity recognition
- named entity recognizer
- nlp
- parsing
- processing
- quadratic programming
- random sele ction
- recognition
- recognizer
- sample selection
- scoring
- selection method
- selection process
- statistical parsing
- supervised learning
- supervised learning approach
- support vector machines
- text chunking
- text classification
- time warping
- training process
- vector space model
Other assigned terms:
- annotated corpus
- annotation
- annotation effort
- approach
- biomedical domain
- classification tasks
- cluster
- clusters
- context words
- cosine similarity
- cosine similarity measure
- data set
- entity class
- experimental results
- f-measure
- feature
- feature space
- feature vector
- feature vectors
- genia
- genia corpus
- human annotation
- kernel function
- knowledge
- labeled training data
- labeling
- local context
- measure
- measures
- method
- name entity
- named entities
- named entity
- names
- ner model
- nlp task
- nlp tasks
- nouns
- organization names
- person names
- positive and negative examples
- procedure
- process
- protein names
- semantic
- similarity measure
- statistical models
- support vector
- surface word information
- svm model
- target word
- test data
- test set
- text
- time complexity
- training
- training data
- training examples
- training set
- unlabeled examples
- vector space
- word
- word information
- word sequence
- word sequences
- words
