Exploiting Global Contextual Information for Document-level Named Entity Recognition.
Zanbo WangWei WeiXianling MaoShanshan FengPan ZhouZhiyong HeSheng JiangPublished in: CoRR (2021)
Keyphrases
- contextual information
- named entity recognition
- document level
- information extraction
- named entities
- natural language processing
- context aware
- sentence level
- conditional random fields
- semi supervised
- text summarization
- maximum entropy
- language model
- relation extraction
- high level
- query expansion
- semantic information
- sentiment classification
- sentiment analysis
- question answering
- text mining
- expert systems
- probabilistic model
- coreference resolution
- natural language
- document retrieval
- prior knowledge
- learning process
- data mining
- graphical models
- higher order