Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood.
Yu XiaYongwei ZhaoWenhao WuSujian LiPublished in: ACL (2) (2023)
Keyphrases
- named entity recognition
- named entities
- information extraction
- natural language processing
- conditional random fields
- maximum entropy
- text summarization
- semi supervised
- sequence labeling
- hand coded
- classifier ensemble
- generative model
- relation extraction
- annotated corpus
- proper names
- maximum likelihood
- knowledge discovery
- unsupervised learning
- question answering
- prior knowledge
- real world
- maximum entropy classifier
- named entity disambiguation
- domain specific
- text mining
- hidden markov models
- active learning
- pairwise
- image processing
- information retrieval