A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms.
György SzarvasRichárd FarkasAndrás KocsorPublished in: Discovery Science (2006)
Keyphrases
- named entities
- decision tree learning algorithms
- random forest
- web news
- decision trees
- naive bayes
- named entity recognition
- performs competitively
- question answering
- information extraction
- named entity extraction
- text mining
- co occurrence
- active learning
- decision tree learning algorithm
- relation extraction
- natural language processing
- cross language
- cross language information retrieval
- ensemble methods
- cross lingual
- unsupervised learning
- text classification
- annotated corpus
- classification accuracy
- computer vision
- feature extraction
- feature set
- training data
- multi label