Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction.
Kareem AhmedEric WangGuy Van den BroeckKai-Wei ChangPublished in: CoRR (2021)
Keyphrases
- constraint satisfaction
- relation extraction
- unlabeled data
- named entities
- co training
- labeled data
- semi supervised learning
- semi supervised
- named entity recognition
- information extraction
- constraint satisfaction problems
- automatic extraction
- supervised learning
- active learning
- domain specific
- training data
- question answering
- unsupervised learning
- co occurrence
- text classification
- text mining
- semantic relations
- generative model
- natural language processing
- text categorization
- data points
- semantic features
- heuristic search
- learning algorithm
- constraint propagation
- transfer learning
- probabilistic model
- bayesian networks
- training set
- text documents
- machine learning
- search space
- domain adaptation
- pairwise
- maximum entropy
- data analysis