Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training.
Amir Pouran Ben VeysehFranck DernoncourtBonan MinThien NguyenPublished in: ACL (Findings) (2023)
Keyphrases
- labeled data
- meta learning
- relation extraction
- supervised learning
- learning tasks
- unlabeled data
- semi supervised
- transfer learning
- semi supervised learning
- training examples
- text classification
- information extraction
- automatic extraction
- named entity recognition
- inductive learning
- active learning
- training data
- domain specific
- named entities
- semantic relations
- training set
- semantic features
- machine learning
- model selection
- domain adaptation
- prior knowledge
- decision trees
- machine learning algorithms
- learning algorithm
- data points
- unsupervised learning
- class labels
- background knowledge
- question answering
- pairwise
- feature selection
- data mining
- base classifiers
- training samples
- test set
- text mining
- knn
- natural language processing