Programming techniques for improving rule readability for rule-based information extraction natural language processing pipelines of unstructured and semi-structured medical texts.
Nektarios LadasFlorian BorchertStefan FranzAlina RehbergNatalia StrauchKim Katrin SommerMichael MarschollekMatthias GietzeltPublished in: Health Informatics J. (2023)
Keyphrases
- semi structured
- information extraction
- natural language processing
- information extraction systems
- text documents
- natural language text
- structured data
- free text
- natural language
- text mining
- named entity recognition
- web documents
- text processing
- linguistic patterns
- unstructured text
- wrapper generation
- data extraction
- web data
- machine translation
- programming language
- data collections
- textual data
- machine learning
- question answering
- information integration
- information retrieval
- semi structured data
- semi structured documents
- relation extraction
- web data sources
- unstructured data
- structured knowledge
- expert systems
- web mining
- wordnet
- association rules
- rule engine
- named entities
- content and structure
- word sense disambiguation
- data sets
- html documents
- semantic relations
- knowledge acquisition
- knowledge representation
- big data
- data analysis
- artificial intelligence
- text summarization