MLM-based typographical error correction of unstructured medical texts for named entity recognition.
Eun Byul LeeGo Eun HeoChang Min ChoiMin SongPublished in: BMC Bioinform. (2022)
Keyphrases
- error correction
- named entity recognition
- information extraction
- named entities
- natural language processing
- genia corpus
- relation extraction
- text summarization
- semi supervised
- natural language text
- conditional random fields
- maximum entropy
- text documents
- natural language
- channel coding
- error correcting
- error detection
- annotated corpus
- classifier ensemble
- reed solomon
- question answering
- magnetic tape
- maximum entropy classifier
- error detection and correction
- error control
- supervised learning
- data mining
- information retrieval
- video sequences
- automatic extraction
- watermarking scheme
- expert systems
- pairwise
- higher order
- text mining