Using Uneven Margins SVM and Perceptron for Information Extraction.
Yaoyong LiKalina BontchevaHamish CunninghamPublished in: CoNLL (2005)
Keyphrases
- information extraction
- soft margin
- support vector
- support vector machine
- generalization ability
- support vector machine svm
- machine learning
- svm classifier
- parameter selection
- precision and recall
- multi class
- natural language processing
- maximum margin
- noise tolerance
- text mining
- support vectors
- relational learning
- perceptron algorithm
- learning algorithm
- named entity recognition
- maximal margin
- kernel function
- structured data
- neural network
- generalization error
- ontology based information extraction
- feature selection
- natural language
- question answering
- multi class classification
- data sets
- information retrieval
- training data
- relation extraction
- training set
- feature vectors
- textual data
- named entities
- hyperplane
- web documents
- natural language text
- text documents
- web mining
- svm classification
- conditional random fields
- knn
- free text
- multiple kernel learning
- word sense disambiguation
- cross validation
- feature space
- data extraction
- semi structured
- machine translation
- multi class svm
- binary classification
- text classification
- linear threshold
- large margin classifiers
- extracting meaningful