Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture.
Bingsheng YaoIshan JindalLucian PopaYannis KatsisSayan GhoshLihong HeYuxuan LuShashank SrivastavaYunyao LiJames A. HendlerDakuo WangPublished in: EMNLP (Findings) (2023)
Keyphrases
- active learning
- natural language
- natural language interface
- training examples
- annotation effort
- training set
- machine learning
- management system
- information extraction
- semi supervised
- unlabeled examples
- learning algorithm
- learning strategies
- knowledge representation
- real time
- network architecture
- semantic analysis
- domain theory
- labeled examples
- unlabeled instances
- random sampling
- unlabeled data
- natural language generation
- semantic interpretation
- question answering
- selective sampling
- labeled data
- active learner
- supervised learning
- generating explanations
- pool based active learning
- ground truth labels