Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency.
Huasha ZhaoYi YangQiong ZhangLuo SiPublished in: TAC (2017)
Keyphrases
- supervised learning
- training set
- classification accuracy
- training phase
- training samples
- training process
- neural network
- pattern recognition
- automatic classification
- detection algorithm
- discriminative classifiers
- structured prediction
- multi layer perceptron
- avoid overfitting
- classification method
- network architecture
- classification scheme
- boosted classifiers
- feature extraction
- restricted boltzmann machine
- training data
- object detection
- neyman pearson
- feature extraction and classification
- robust detection
- feature selection
- automatic detection
- classification algorithm
- support vector machine
- detection rate
- neural model
- decision trees
- support vector
- feature vectors
- digital mammograms
- labelled data
- knn
- image classification
- text classification
- unsupervised learning
- object detectors
- anomaly detection
- support vector machine svm
- training examples
- false positives
- svm classifier
- pattern classification