Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification.
Nut LimsopathamNigel CollierPublished in: BioNLP@ACL (2016)
Keyphrases
- convolutional neural network
- domain adaptation
- transfer learning
- labeled data
- sufficient training data
- face detection
- text classification
- domain specific
- label information
- target domain
- machine learning
- decision trees
- support vector machine
- cross domain
- dimensionality reduction
- neural network
- information extraction
- training data
- supervised learning
- vector space
- feature vectors
- general purpose
- learning algorithm
- similarity measure
- test data
- support vector
- classification algorithm
- class labels
- natural language
- training samples
- feature space
- unsupervised learning
- training set