Exploiting Noisy Data in Distant Supervision Relation Classification.
Kaijia YangLiang HeXinyu DaiShujian HuangJiajun ChenPublished in: NAACL-HLT (1) (2019)
Keyphrases
- noisy data
- high dimensionality
- classification accuracy
- pattern recognition
- missing data
- support vector machine
- training set
- noise free
- decision trees
- feature space
- machine learning
- intrinsic dimensionality
- feature vectors
- incremental learning
- noise tolerant
- database
- class labels
- class noise
- text classification
- support vector
- feature extraction
- neural network
- non stationary
- classification algorithm
- missing values
- high dimensional
- training data
- data mining
- data sets